{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/method/adam/papers/153","list_of":"/method/adam","method":"Adam","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"date (newest first), then slug","page":153,"pages_in_order":244,"rows_per_page":100,"rows":[15201,15300],"of":24390,"counts":{"archive_papers_tagged":24390,"with_a_code_link":10944,"where_syntology_ran_a_sample":3424,"not_listed_spam_title":0,"listed":24390,"listed_where_code_ran":3424,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":2899,"every_run_a_failure_of_syntologys_instrument":525,"listed_with_a_run_with_no_instrument_failure":2899,"listed_every_run_a_failure_of_syntologys_instrument":525,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/method/adam","prev":"/method/adam/papers/152","next":"/method/adam/papers/154","papers":[{"paper":"/paper/outlier-suppression-pushing-the-limit-of-low","slug":"outlier-suppression-pushing-the-limit-of-low","title":"Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models","date":"2022-09-27","arxiv_id":"2209.13325","n_code_links":1,"syntology":{"ran":2,"of":3,"n_ran_checked":1,"n_instrument":1,"unverified":1,"pointer_only":3,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","official":{"repos":["wimh966/outlier_suppression"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"view-aware-salient-object-detection-for","title":"View-aware Salient Object Detection for 360° Omnidirectional Image","date":"2022-09-27","arxiv_id":"2209.13222","n_code_links":0,"syntology":null},{"paper":"/paper/wikides-a-wikipedia-based-dataset-for","slug":"wikides-a-wikipedia-based-dataset-for","title":"WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs","date":"2022-09-27","arxiv_id":"2209.13101","n_code_links":1,"syntology":null},{"paper":null,"slug":"do-ever-larger-octopi-still-amplify-reporting","title":"Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour","date":"2022-09-26","arxiv_id":"2209.12786","n_code_links":0,"syntology":null},{"paper":"/paper/news-summarization-and-evaluation-in-the-era","slug":"news-summarization-and-evaluation-in-the-era","title":"News Summarization and Evaluation in the Era of GPT-3","date":"2022-09-26","arxiv_id":"2209.12356","n_code_links":1,"syntology":null},{"paper":null,"slug":"towards-simple-and-efficient-task-adaptive","title":"Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification","date":"2022-09-26","arxiv_id":"2209.12943","n_code_links":0,"syntology":null},{"paper":"/paper/anomaly-detection-in-aerial-videos-with","slug":"anomaly-detection-in-aerial-videos-with","title":"Anomaly Detection in Aerial Videos with Transformers","date":"2022-09-25","arxiv_id":"2209.13363","n_code_links":1,"syntology":null},{"paper":null,"slug":"bigger-faster-two-stage-neural-architecture","title":"SpeedLimit: Neural Architecture Search for Quantized Transformer Models","date":"2022-09-25","arxiv_id":"2209.12127","n_code_links":0,"syntology":null},{"paper":"/paper/eco-tr-efficient-correspondences-finding-via","slug":"eco-tr-efficient-correspondences-finding-via","title":"ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement","date":"2022-09-25","arxiv_id":"2209.12213","n_code_links":1,"syntology":{"ran":11,"of":13,"n_ran_checked":8,"n_instrument":3,"unverified":2,"pointer_only":3,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","official":null}},{"paper":null,"slug":"on-the-stability-analysis-of-open-federated","title":"On the Stability Analysis of Open Federated Learning Systems","date":"2022-09-25","arxiv_id":"2209.12307","n_code_links":0,"syntology":null},{"paper":null,"slug":"sentiment-analysis-on-inflation-after-covid","title":"Sentiment Analysis on Inflation after Covid-19","date":"2022-09-25","arxiv_id":"2209.14737","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-deep-investigation-of-rnn-and-self","title":"A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion","date":"2022-09-24","arxiv_id":"2209.11963","n_code_links":0,"syntology":null},{"paper":null,"slug":"can-transformer-models-effectively-detect","title":"Can Transformer Models Effectively Detect Software Aspects in StackOverflow Discussion?","date":"2022-09-24","arxiv_id":"2209.12065","n_code_links":0,"syntology":null},{"paper":null,"slug":"hybrid-multimodal-fusion-for-humor-detection","title":"Hybrid Multimodal Fusion for Humor Detection","date":"2022-09-24","arxiv_id":"2209.11949","n_code_links":0,"syntology":null},{"paper":null,"slug":"learning-chess-with-language-models-and","title":"Learning Chess With Language Models and Transformers","date":"2022-09-24","arxiv_id":"2209.11902","n_code_links":0,"syntology":null},{"paper":null,"slug":"moral-mimicry-large-language-models-produce","title":"Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity","date":"2022-09-24","arxiv_id":"2209.12106","n_code_links":0,"syntology":null},{"paper":"/paper/s-2-transformer-for-mask-aware-hyperspectral","slug":"s-2-transformer-for-mask-aware-hyperspectral","title":"S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction","date":"2022-09-24","arxiv_id":"2209.12075","n_code_links":1,"syntology":null},{"paper":null,"slug":"idea-interactive-double-attentions-from-label","title":"IDEA: Interactive DoublE Attentions from Label Embedding for Text Classification","date":"2022-09-23","arxiv_id":"2209.11407","n_code_links":0,"syntology":null},{"paper":null,"slug":"improving-conversational-recommender-system","title":"Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge","date":"2022-09-23","arxiv_id":"2209.11386","n_code_links":0,"syntology":null},{"paper":null,"slug":"m2trec-metadata-aware-multi-task-transformer","title":"M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations","date":"2022-09-23","arxiv_id":"2209.11824","n_code_links":0,"syntology":null},{"paper":"/paper/on-efficient-reinforcement-learning-for-full","slug":"on-efficient-reinforcement-learning-for-full","title":"On Efficient Reinforcement Learning for Full-length Game of StarCraft II","date":"2022-09-23","arxiv_id":"2209.11553","n_code_links":2,"syntology":{"ran":8,"of":10,"n_ran_checked":8,"n_instrument":0,"unverified":2,"pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","official":{"repos":["liuruoze/hiernet-sc2","liuruoze/mini-AlphaStar"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"transformer-based-microbubble-localization","title":"Transformer-Based Microbubble Localization","date":"2022-09-23","arxiv_id":"2209.11859","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-case-report-on-the-a-i-locked-in-problem","title":"A Case Report On The \"A.I. Locked-In Problem\": social concerns with modern NLP","date":"2022-09-22","arxiv_id":"2209.12687","n_code_links":0,"syntology":null},{"paper":"/paper/adaptation-of-domain-specific-transformer","slug":"adaptation-of-domain-specific-transformer","title":"Adaptation of domain-specific transformer models with text oversampling for sentiment analysis of social media posts on Covid-19 vaccines","date":"2022-09-22","arxiv_id":"2209.10966","n_code_links":1,"syntology":null},{"paper":null,"slug":"air-jpmc-smm4h-22-classifying-self-reported","title":"AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models","date":"2022-09-22","arxiv_id":"2209.10763","n_code_links":0,"syntology":null},{"paper":"/paper/avt-audio-video-transformer-for-multimodal","slug":"avt-audio-video-transformer-for-multimodal","title":"AVT: Audio-Video Transformer for Multimodal Action Recognition","date":"2022-09-22","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"dfx-a-low-latency-multi-fpga-appliance-for","title":"DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation","date":"2022-09-22","arxiv_id":"2209.10797","n_code_links":0,"syntology":null},{"paper":"/paper/efficient-few-shot-learning-without-prompts","slug":"efficient-few-shot-learning-without-prompts","title":"Efficient Few-Shot Learning Without Prompts","date":"2022-09-22","arxiv_id":"2209.11055","n_code_links":1,"syntology":{"ran":1,"of":1,"n_ran_checked":0,"n_instrument":1,"unverified":0,"pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","official":{"repos":["huggingface/setfit"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"learning-model-predictive-controllers-with","title":"Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation","date":"2022-09-22","arxiv_id":"2209.10780","n_code_links":0,"syntology":null},{"paper":"/paper/lightweight-transformers-for-human-activity","slug":"lightweight-transformers-for-human-activity","title":"Lightweight Transformers for Human Activity Recognition on Mobile Devices","date":"2022-09-22","arxiv_id":"2209.11750","n_code_links":1,"syntology":null},{"paper":null,"slug":"minimizing-human-assistance-augmenting-a","title":"Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning","date":"2022-09-22","arxiv_id":"2209.11275","n_code_links":0,"syntology":null},{"paper":"/paper/multiscale-multimodal-transformer-for","slug":"multiscale-multimodal-transformer-for","title":"Multiscale Multimodal Transformer for Multimodal Action Recognition","date":"2022-09-22","arxiv_id":null,"n_code_links":0,"syntology":null},{"paper":null,"slug":"pact-perception-action-causal-transformer-for","title":"PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training","date":"2022-09-22","arxiv_id":"2209.11133","n_code_links":0,"syntology":null},{"paper":"/paper/pretraining-the-vision-transformer-using-self","slug":"pretraining-the-vision-transformer-using-self","title":"Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning","date":"2022-09-22","arxiv_id":"2209.10901","n_code_links":1,"syntology":null},{"paper":"/paper/swin2sr-swinv2-transformer-for-compressed","slug":"swin2sr-swinv2-transformer-for-compressed","title":"Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration","date":"2022-09-22","arxiv_id":"2209.11345","n_code_links":5,"syntology":null},{"paper":"/paper/uniformerv2-spatiotemporal-learning-by-arming","slug":"uniformerv2-spatiotemporal-learning-by-arming","title":"UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer","date":"2022-09-22","arxiv_id":null,"n_code_links":2,"syntology":null},{"paper":null,"slug":"3dpct-3d-point-cloud-transformer-with-dual","title":"3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation","date":"2022-09-21","arxiv_id":"2209.11255","n_code_links":0,"syntology":null},{"paper":"/paper/bias-at-a-second-glance-a-deep-dive-into-bias","slug":"bias-at-a-second-glance-a-deep-dive-into-bias","title":"Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling","date":"2022-09-21","arxiv_id":"2209.10335","n_code_links":2,"syntology":{"ran":3,"of":6,"n_ran_checked":3,"n_instrument":0,"unverified":3,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","official":{"repos":["epfl-ml4ed/bias-at-a-second-glance"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":3,"ran_from_kinds":["listed"]}}},{"paper":"/paper/cae-mechanism-to-diminish-the-class","slug":"cae-mechanism-to-diminish-the-class","title":"CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling Task","date":"2022-09-21","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/exploring-modulated-detection-transformer-as","slug":"exploring-modulated-detection-transformer-as","title":"Exploring Modulated Detection Transformer as a Tool for Action Recognition in Videos","date":"2022-09-21","arxiv_id":"2209.10126","n_code_links":1,"syntology":null},{"paper":"/paper/hifuse-hierarchical-multi-scale-feature","slug":"hifuse-hierarchical-multi-scale-feature","title":"HiFuse: Hierarchical Multi-Scale Feature Fusion Network for Medical Image Classification","date":"2022-09-21","arxiv_id":"2209.10218","n_code_links":1,"syntology":null},{"paper":null,"slug":"lamarckian-platform-pushing-the-boundaries-of","title":"Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games","date":"2022-09-21","arxiv_id":"2209.10055","n_code_links":0,"syntology":null},{"paper":"/paper/mega-moving-average-equipped-gated-attention","slug":"mega-moving-average-equipped-gated-attention","title":"Mega: Moving Average Equipped Gated Attention","date":"2022-09-21","arxiv_id":"2209.10655","n_code_links":7,"syntology":{"ran":12,"of":13,"n_ran_checked":8,"n_instrument":4,"unverified":1,"pointer_only":11,"phrase":"12 ran (of which 6 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["facebookresearch/mega"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"paper":"/paper/pict-a-slim-weakly-supervised-vision","slug":"pict-a-slim-weakly-supervised-vision","title":"PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification","date":"2022-09-21","arxiv_id":"2209.10074","n_code_links":1,"syntology":null},{"paper":null,"slug":"representing-affect-information-in-word","title":"Representing Affect Information in Word Embeddings","date":"2022-09-21","arxiv_id":"2209.10583","n_code_links":0,"syntology":null},{"paper":null,"slug":"sar-ship-detection-based-on-swin-transformer","title":"Sar Ship Detection based on Swin Transformer and Feature Enhancement Feature Pyramid Network","date":"2022-09-21","arxiv_id":"2209.10421","n_code_links":0,"syntology":null},{"paper":null,"slug":"subject-verb-agreement-error-patterns-in","title":"Subject Verb Agreement Error Patterns in Meaningless Sentences: Humans vs. BERT","date":"2022-09-21","arxiv_id":"2209.10538","n_code_links":0,"syntology":null},{"paper":null,"slug":"text-revealer-private-text-reconstruction-via","title":"Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers","date":"2022-09-21","arxiv_id":"2209.10505","n_code_links":0,"syntology":null},{"paper":null,"slug":"a-deep-reinforcement-learning-based-charging","title":"A Deep Reinforcement Learning-Based Charging Scheduling Approach with Augmented Lagrangian for Electric Vehicle","date":"2022-09-20","arxiv_id":"2209.09772","n_code_links":0,"syntology":null},{"paper":null,"slug":"adaptable-butterfly-accelerator-for-attention","title":"Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design","date":"2022-09-20","arxiv_id":"2209.09570","n_code_links":0,"syntology":null},{"paper":null,"slug":"graph-reasoning-transformer-for-image-parsing","title":"Graph Reasoning Transformer for Image Parsing","date":"2022-09-20","arxiv_id":"2209.09545","n_code_links":0,"syntology":null},{"paper":null,"slug":"integer-fine-tuning-of-transformer-based","title":"Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation","date":"2022-09-20","arxiv_id":"2209.09815","n_code_links":0,"syntology":null},{"paper":"/paper/learn-to-explain-multimodal-reasoning-via","slug":"learn-to-explain-multimodal-reasoning-via","title":"Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering","date":"2022-09-20","arxiv_id":"2209.09513","n_code_links":1,"syntology":{"ran":4,"of":5,"n_ran_checked":0,"n_instrument":4,"unverified":1,"pointer_only":2,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","official":{"repos":["lupantech/ScienceQA"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official","unlocated"]}}},{"paper":"/paper/mtr-a-1st-place-solution-for-2022-waymo-open","slug":"mtr-a-1st-place-solution-for-2022-waymo-open","title":"MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction","date":"2022-09-20","arxiv_id":"2209.10033","n_code_links":2,"syntology":null},{"paper":"/paper/non-linguistic-supervision-for-contrastive","slug":"non-linguistic-supervision-for-contrastive","title":"Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings","date":"2022-09-20","arxiv_id":"2209.09433","n_code_links":1,"syntology":{"ran":5,"of":8,"n_ran_checked":3,"n_instrument":2,"unverified":3,"pointer_only":8,"phrase":"5 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","official":{"repos":["yiren-jian/NonLing-CSE"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"one-to-many-semantic-communication-systems","title":"One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation","date":"2022-09-20","arxiv_id":"2209.09425","n_code_links":0,"syntology":null},{"paper":"/paper/perceptual-quality-assessment-for-digital","slug":"perceptual-quality-assessment-for-digital","title":"Perceptual Quality Assessment for Digital Human Heads","date":"2022-09-20","arxiv_id":"2209.09489","n_code_links":1,"syntology":null},{"paper":"/paper/probabilistic-generative-transformer-language","slug":"probabilistic-generative-transformer-language","title":"Probabilistic Generative Transformer Language models for Generative Design of Molecules","date":"2022-09-20","arxiv_id":"2209.09406","n_code_links":1,"syntology":null},{"paper":"/paper/prompt-based-time-series-forecasting-a-new","slug":"prompt-based-time-series-forecasting-a-new","title":"PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting","date":"2022-09-20","arxiv_id":"2210.08964","n_code_links":2,"syntology":null},{"paper":"/paper/unsupervised-early-exit-in-dnns-with-multiple","slug":"unsupervised-early-exit-in-dnns-with-multiple","title":"Unsupervised Early Exit in DNNs with Multiple Exits","date":"2022-09-20","arxiv_id":"2209.09480","n_code_links":1,"syntology":null},{"paper":"/paper/attentive-symmetric-autoencoder-for-brain-mri","slug":"attentive-symmetric-autoencoder-for-brain-mri","title":"Attentive Symmetric Autoencoder for Brain MRI Segmentation","date":"2022-09-19","arxiv_id":"2209.08887","n_code_links":1,"syntology":null},{"paper":null,"slug":"axially-expanded-windows-for-local-global","title":"Axially Expanded Windows for Local-Global Interaction in Vision Transformers","date":"2022-09-19","arxiv_id":"2209.08726","n_code_links":0,"syntology":null},{"paper":null,"slug":"estimating-brain-age-with-global-and-local","title":"Estimating Brain Age with Global and Local Dependencies","date":"2022-09-19","arxiv_id":"2209.08933","n_code_links":0,"syntology":null},{"paper":null,"slug":"himfr-a-hybrid-masked-face-recognition","title":"HiMFR: A Hybrid Masked Face Recognition Through Face Inpainting","date":"2022-09-19","arxiv_id":"2209.08930","n_code_links":0,"syntology":null},{"paper":"/paper/meta-adapters-parameter-efficient-few-shot","slug":"meta-adapters-parameter-efficient-few-shot","title":"Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning","date":"2022-09-19","arxiv_id":null,"n_code_links":1,"syntology":null},{"paper":"/paper/movq-modulating-quantized-vectors-for-high","slug":"movq-modulating-quantized-vectors-for-high","title":"MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation","date":"2022-09-19","arxiv_id":"2209.09002","n_code_links":2,"syntology":null},{"paper":"/paper/multi-task-vision-transformer-for-semi","slug":"multi-task-vision-transformer-for-semi","title":"ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection","date":"2022-09-19","arxiv_id":"2209.09178","n_code_links":1,"syntology":null},{"paper":"/paper/panoramic-vision-transformer-for-saliency","slug":"panoramic-vision-transformer-for-saliency","title":"Panoramic Vision Transformer for Saliency Detection in 360° Videos","date":"2022-09-19","arxiv_id":"2209.08956","n_code_links":1,"syntology":{"ran":5,"of":7,"n_ran_checked":4,"n_instrument":1,"unverified":2,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","official":{"repos":["hs-yn/paver"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"paper":"/paper/real-time-online-video-detection-with","slug":"real-time-online-video-detection-with","title":"Real-time Online Video Detection with Temporal Smoothing Transformers","date":"2022-09-19","arxiv_id":"2209.09236","n_code_links":1,"syntology":{"ran":3,"of":4,"n_ran_checked":3,"n_instrument":0,"unverified":1,"pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","official":{"repos":["zhaoyue-zephyrus/testra"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"uncertainty-aware-multitask-pyramid-vision","title":"Uncertainty Aware Multitask Pyramid Vision Transformer For UAV-Based Object Re-Identification","date":"2022-09-19","arxiv_id":"2209.08686","n_code_links":0,"syntology":null},{"paper":null,"slug":"will-it-blend-mixing-training-paradigms","title":"Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction","date":"2022-09-19","arxiv_id":"2209.08966","n_code_links":0,"syntology":null},{"paper":null,"slug":"deep-learning-based-rate-splitting-multiple","title":"Deep Learning-Based Rate-Splitting Multiple Access for Reconfigurable Intelligent Surface-Aided Tera-Hertz Massive MIMO","date":"2022-09-18","arxiv_id":"2209.08456","n_code_links":0,"syntology":null},{"paper":null,"slug":"eeg-based-epileptic-seizure-prediction-using","title":"EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers","date":"2022-09-18","arxiv_id":"2209.11172","n_code_links":0,"syntology":null},{"paper":null,"slug":"ernie-mmlayout-multi-grained-multimodal","title":"ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding","date":"2022-09-18","arxiv_id":"2209.08569","n_code_links":0,"syntology":null},{"paper":"/paper/delving-globally-into-texture-and-structure","slug":"delving-globally-into-texture-and-structure","title":"Delving Globally into Texture and Structure for Image Inpainting","date":"2022-09-17","arxiv_id":"2209.08217","n_code_links":1,"syntology":null},{"paper":"/paper/detecting-generated-scientific-papers-using","slug":"detecting-generated-scientific-papers-using","title":"Detecting Generated Scientific Papers using an Ensemble of Transformer Models","date":"2022-09-17","arxiv_id":"2209.08283","n_code_links":1,"syntology":null},{"paper":"/paper/learning-distinct-and-representative-modes","slug":"learning-distinct-and-representative-modes","title":"Learning Distinct and Representative Styles for Image Captioning","date":"2022-09-17","arxiv_id":"2209.08231","n_code_links":1,"syntology":{"ran":0,"of":1,"n_ran_checked":0,"n_instrument":0,"unverified":1,"pointer_only":1,"phrase":"0 ran · 1 unverified","official":{"repos":["bladewaltz1/modecap"],"state":"official: harvested, nothing ran","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":[]}}},{"paper":"/paper/learning-to-answer-semantic-queries-over-code","slug":"learning-to-answer-semantic-queries-over-code","title":"CodeQueries: A Dataset of Semantic Queries over Code","date":"2022-09-17","arxiv_id":"2209.08372","n_code_links":1,"syntology":null},{"paper":"/paper/watch-what-you-pretrain-for-targeted","slug":"watch-what-you-pretrain-for-targeted","title":"Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models","date":"2022-09-17","arxiv_id":"2209.13523","n_code_links":1,"syntology":null},{"paper":"/paper/a-mosquito-is-worth-16x16-larvae-evaluation","slug":"a-mosquito-is-worth-16x16-larvae-evaluation","title":"A Mosquito is Worth 16x16 Larvae: Evaluation of Deep Learning Architectures for Mosquito Larvae Classification","date":"2022-09-16","arxiv_id":"2209.07718","n_code_links":1,"syntology":null},{"paper":null,"slug":"changing-the-representation-examining-1","title":"Changing the Representation: Examining Language Representation for Neural Sign Language Production","date":"2022-09-16","arxiv_id":"2210.06312","n_code_links":0,"syntology":null},{"paper":"/paper/curveformer-3d-lane-detection-by-curve","slug":"curveformer-3d-lane-detection-by-curve","title":"CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention","date":"2022-09-16","arxiv_id":"2209.07989","n_code_links":0,"syntology":null},{"paper":null,"slug":"loggd-detecting-anomalies-from-system-logs-by","title":"LogGD:Detecting Anomalies from System Logs by Graph Neural Networks","date":"2022-09-16","arxiv_id":"2209.07869","n_code_links":0,"syntology":null},{"paper":"/paper/monolith-real-time-recommendation-system-with","slug":"monolith-real-time-recommendation-system-with","title":"Monolith: Real Time Recommendation System With Collisionless Embedding Table","date":"2022-09-16","arxiv_id":"2209.07663","n_code_links":1,"syntology":null},{"paper":"/paper/ppt-token-pruned-pose-transformer-for","slug":"ppt-token-pruned-pose-transformer-for","title":"PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation","date":"2022-09-16","arxiv_id":"2209.08194","n_code_links":2,"syntology":null},{"paper":"/paper/psychologically-informed-chain-of-thought","slug":"psychologically-informed-chain-of-thought","title":"Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models","date":"2022-09-16","arxiv_id":"2209.08141","n_code_links":1,"syntology":{"ran":5,"of":5,"n_ran_checked":5,"n_instrument":0,"unverified":0,"pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","official":{"repos":["benpry/chain-of-thought-metaphor"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":null,"slug":"robust-ensemble-morph-detection-with-domain","title":"Robust Ensemble Morph Detection with Domain Generalization","date":"2022-09-16","arxiv_id":"2209.08130","n_code_links":0,"syntology":null},{"paper":null,"slug":"text-and-patterns-for-effective-chain-of","title":"Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango","date":"2022-09-16","arxiv_id":"2209.07686","n_code_links":0,"syntology":null},{"paper":null,"slug":"can-offline-reinforcement-learning-help","title":"Can Offline Reinforcement Learning Help Natural Language Understanding?","date":"2022-09-15","arxiv_id":"2212.03864","n_code_links":0,"syntology":null},{"paper":null,"slug":"efficiency-ordering-of-stochastic-gradient","title":"Efficiency Ordering of Stochastic Gradient Descent","date":"2022-09-15","arxiv_id":"2209.07446","n_code_links":0,"syntology":null},{"paper":null,"slug":"machine-reading-fast-and-slow-when-do-models","title":"Machine Reading, Fast and Slow: When Do Models \"Understand\" Language?","date":"2022-09-15","arxiv_id":"2209.07430","n_code_links":0,"syntology":null},{"paper":"/paper/multi-modal-masked-autoencoders-for-medical","slug":"multi-modal-masked-autoencoders-for-medical","title":"Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training","date":"2022-09-15","arxiv_id":"2209.07098","n_code_links":1,"syntology":null},{"paper":null,"slug":"number-of-attention-heads-vs-number-of","title":"Number of Attention Heads vs Number of Transformer-Encoders in Computer Vision","date":"2022-09-15","arxiv_id":"2209.07221","n_code_links":0,"syntology":null},{"paper":"/paper/pizza-a-powerful-image-only-zero-shot-zero","slug":"pizza-a-powerful-image-only-zero-shot-zero","title":"PIZZA: A Powerful Image-only Zero-Shot Zero-CAD Approach to 6 DoF Tracking","date":"2022-09-15","arxiv_id":"2209.07589","n_code_links":1,"syntology":{"ran":18,"of":18,"n_ran_checked":15,"n_instrument":3,"unverified":0,"pointer_only":4,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 0 honoured, 0 violated, 15 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","official":{"repos":["nv-nguyen/pizza"],"state":"official (archive's flag): 18 ran","n_ran":18,"n_constructed":0,"n_ran_no_instrument_failure":15,"n_unverified":0,"ran_from_kinds":["official"]}}},{"paper":"/paper/stateful-memory-augmented-transformers-for","slug":"stateful-memory-augmented-transformers-for","title":"Stateful Memory-Augmented Transformers for Efficient Dialogue Modeling","date":"2022-09-15","arxiv_id":"2209.07634","n_code_links":1,"syntology":null},{"paper":null,"slug":"uchecker-masked-pretrained-language-models-as","title":"uChecker: Masked Pretrained Language Models as Unsupervised Chinese Spelling Checkers","date":"2022-09-15","arxiv_id":"2209.07068","n_code_links":0,"syntology":null},{"paper":"/paper/ufal-corpipe-at-crac-2022-effectivity-of","slug":"ufal-corpipe-at-crac-2022-effectivity-of","title":"ÚFAL CorPipe at CRAC 2022: Effectivity of Multilingual Models for Coreference Resolution","date":"2022-09-15","arxiv_id":"2209.07278","n_code_links":1,"syntology":null},{"paper":null,"slug":"automated-fidelity-assessment-for-strategy","title":"Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing","date":"2022-09-14","arxiv_id":"2209.06727","n_code_links":0,"syntology":null},{"paper":null,"slug":"bert-based-ensemble-approaches-for-hate","title":"BERT-based Ensemble Approaches for Hate Speech Detection","date":"2022-09-14","arxiv_id":"2209.06505","n_code_links":0,"syntology":null},{"paper":"/paper/efficient-quantized-sparse-matrix-operations","slug":"efficient-quantized-sparse-matrix-operations","title":"Efficient Quantized Sparse Matrix Operations on Tensor Cores","date":"2022-09-14","arxiv_id":"2209.06979","n_code_links":1,"syntology":null}],"record_sha256":"7455f3dcc0dadcf937506e77cca9d884e0487c6da8555113351431cde69aef71","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}