{"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":"/task/decoder/papers/69","list_of":"/task/decoder","task":"Decoder","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":69,"pages_in_order":104,"rows_per_page":100,"rows":[6801,6900],"of":10368,"counts":{"archive_papers_tagged":10368,"with_a_code_link":4358,"where_syntology_ran_a_sample":1061,"not_listed_spam_title":0,"listed":10368,"listed_where_code_ran":1061,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":909,"every_run_a_failure_of_syntologys_instrument":152,"listed_with_a_run_with_no_instrument_failure":909,"listed_every_run_a_failure_of_syntologys_instrument":152,"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":"/task/decoder","prev":"/task/decoder/papers/68","next":"/task/decoder/papers/70","papers":[{"url":null,"slug":"learning-3d-scene-priors-with-2d-supervision","title":"Learning 3D Scene Priors with 2D Supervision","date":"2022-11-25","arxiv_id":"2211.14157","repositories_listed":0,"syntology":null},{"url":null,"slug":"rust-latent-neural-scene-representations-from","title":"RUST: Latent Neural Scene Representations from Unposed Imagery","date":"2022-11-25","arxiv_id":"2211.14306","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-based-feature-compression-for-cnn","title":"Attention-based Feature Compression for CNN Inference Offloading in Edge Computing","date":"2022-11-24","arxiv_id":"2211.13745","repositories_listed":0,"syntology":null},{"url":null,"slug":"chinese-character-recognition-with-radical","title":"Chinese Character Recognition with Radical-Structured Stroke Trees","date":"2022-11-24","arxiv_id":"2211.13518","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-anomalies-using-generative","title":"Detecting Anomalies using Generative Adversarial Networks on Images","date":"2022-11-24","arxiv_id":"2211.13808","repositories_listed":0,"syntology":null},{"url":null,"slug":"hand-guided-high-resolution-feature","title":"Hand Guided High Resolution Feature Enhancement for Fine-Grained Atomic Action Segmentation within Complex Human Assemblies","date":"2022-11-24","arxiv_id":"2211.13694","repositories_listed":0,"syntology":null},{"url":null,"slug":"completing-point-cloud-from-few-points-by","title":"Completing point cloud from few points by Wasserstein GAN and Transformers","date":"2022-11-23","arxiv_id":"2211.12746","repositories_listed":0,"syntology":null},{"url":null,"slug":"rank-one-editing-of-encoder-decoder-models","title":"Rank-One Editing of Encoder-Decoder Models","date":"2022-11-23","arxiv_id":"2211.13317","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerated-solutions-of-coupled-phase-field","title":"Accelerated Solutions of Coupled Phase-Field Problems using Generative Adversarial Networks","date":"2022-11-22","arxiv_id":"2211.12084","repositories_listed":0,"syntology":null},{"url":null,"slug":"clipcrop-conditioned-cropping-driven-by","title":"ClipCrop: Conditioned Cropping Driven by Vision-Language Model","date":"2022-11-21","arxiv_id":"2211.11492","repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-error-concealment-for-fisheye-video","title":"Temporal error concealment for fisheye video sequences based on equisolid re-projection","date":"2022-11-21","arxiv_id":"2211.11472","repositories_listed":0,"syntology":null},{"url":null,"slug":"coarse-to-fine-task-driven-inpainting-for","title":"Coarse-to-fine Task-driven Inpainting for Geoscience Images","date":"2022-11-20","arxiv_id":"2211.11059","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-deep-transfer-learning-for-eeg","title":"Federated deep transfer learning for EEG decoding using multiple BCI tasks","date":"2022-11-20","arxiv_id":"2211.10976","repositories_listed":0,"syntology":null},{"url":null,"slug":"avatar-submission-to-the-ego4d-av","title":"AVATAR submission to the Ego4D AV Transcription Challenge","date":"2022-11-18","arxiv_id":"2211.09966","repositories_listed":0,"syntology":null},{"url":null,"slug":"cnerv-content-adaptive-neural-representation","title":"CNeRV: Content-adaptive Neural Representation for Visual Data","date":"2022-11-18","arxiv_id":"2211.10421","repositories_listed":0,"syntology":null},{"url":null,"slug":"detect-only-what-you-specify-object-detection","title":"Detect Only What You Specify : Object Detection with Linguistic Target","date":"2022-11-18","arxiv_id":"2211.11572","repositories_listed":0,"syntology":null},{"url":"/paper/fie-building-a-global-probability-space-by","slug":"fie-building-a-global-probability-space-by","title":"FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering","date":"2022-11-18","arxiv_id":"2211.10147","repositories_listed":0,"syntology":null},{"url":null,"slug":"pedestrian-spatio-temporal-information-fusion","title":"Pedestrian Spatio-Temporal Information Fusion For Video Anomaly Detection","date":"2022-11-18","arxiv_id":"2211.10052","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-transformers-in-medical-imaging-a","title":"Vision Transformers in Medical Imaging: A Review","date":"2022-11-18","arxiv_id":"2211.10043","repositories_listed":0,"syntology":null},{"url":null,"slug":"d-3-etr-decoder-distillation-for-detection","title":"D$^3$ETR: Decoder Distillation for Detection Transformer","date":"2022-11-17","arxiv_id":"2211.09768","repositories_listed":0,"syntology":null},{"url":null,"slug":"sms-spiking-marching-scheme-for-efficient","title":"SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations","date":"2022-11-17","arxiv_id":"2211.09928","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-augmentation-with-unsupervised-speaking","title":"Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer","date":"2022-11-16","arxiv_id":"2211.08843","repositories_listed":0,"syntology":null},{"url":null,"slug":"swin-sftnet-spatial-feature-expansion-and","title":"SWIN-SFTNet : Spatial Feature Expansion and Aggregation using Swin Transformer For Whole Breast micro-mass segmentation","date":"2022-11-16","arxiv_id":"2211.08717","repositories_listed":0,"syntology":null},{"url":null,"slug":"cadm-codec-aware-diffusion-modeling-for","title":"CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming","date":"2022-11-15","arxiv_id":"2211.08428","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modality-transformer-for-visible","title":"Cross-Modality Transformer for Visible-Infrared Person Re-Identification","date":"2022-11-15","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"feedback-chain-network-for-hippocampus","title":"Feedback Chain Network For Hippocampus Segmentation","date":"2022-11-15","arxiv_id":"2211.07891","repositories_listed":0,"syntology":null},{"url":null,"slug":"grafting-pre-trained-models-for-multimodal","title":"Grafting Pre-trained Models for Multimodal Headline Generation","date":"2022-11-14","arxiv_id":"2211.07210","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-latent-part-whole-hierarchies-for","title":"Learning Latent Part-Whole Hierarchies for Point Clouds","date":"2022-11-14","arxiv_id":"2211.07082","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-scalable-graph-neural-network-decoder-for","title":"A Scalable Graph Neural Network Decoder for Short Block Codes","date":"2022-11-13","arxiv_id":"2211.06962","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-backpropagate-through-hungarian-in","title":"How to Backpropagate through Hungarian in Your DETR?","date":"2022-11-12","arxiv_id":"2211.14448","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-end-to-end-multi-target-tracking","title":"An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention","date":"2022-11-11","arxiv_id":"2211.06001","repositories_listed":0,"syntology":null},{"url":null,"slug":"masked-contrastive-representation-learning-1","title":"Masked Contrastive Representation Learning","date":"2022-11-11","arxiv_id":"2211.06012","repositories_listed":0,"syntology":null},{"url":null,"slug":"progressive-motion-context-refine-network-for","title":"Progressive Motion Context Refine Network for Efficient Video Frame Interpolation","date":"2022-11-11","arxiv_id":"2211.06024","repositories_listed":0,"syntology":null},{"url":null,"slug":"setgen-scalable-and-efficient-template","title":"InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration","date":"2022-11-10","arxiv_id":"2211.05622","repositories_listed":0,"syntology":null},{"url":"/paper/ernie-unix2-a-unified-cross-lingual-cross","slug":"ernie-unix2-a-unified-cross-lingual-cross","title":"ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation","date":"2022-11-09","arxiv_id":"2211.04861","repositories_listed":0,"syntology":null},{"url":null,"slug":"expressive-vc-highly-expressive-voice","title":"Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features","date":"2022-11-09","arxiv_id":"2211.04710","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-representation-learning-for-street","title":"Graph representation learning for street networks","date":"2022-11-09","arxiv_id":"2211.04984","repositories_listed":0,"syntology":null},{"url":null,"slug":"pure-transformer-with-integrated-experts-for","title":"Pure Transformer with Integrated Experts for Scene Text Recognition","date":"2022-11-09","arxiv_id":"2211.04963","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-reasoning-aware-explainable-vqa","title":"Towards Reasoning-Aware Explainable VQA","date":"2022-11-09","arxiv_id":"2211.05190","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-informed-inference-of-aerial-animal","title":"Physics-informed inference of aerial animal movements from weather radar data","date":"2022-11-08","arxiv_id":"2211.04539","repositories_listed":0,"syntology":null},{"url":"/paper/group-detr-v2-strong-object-detector-with-1","slug":"group-detr-v2-strong-object-detector-with-1","title":"Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining","date":"2022-11-07","arxiv_id":"2211.03594","repositories_listed":0,"syntology":null},{"url":null,"slug":"channel-aware-pretraining-of-joint-encoder","title":"Channel-Aware Pretraining of Joint Encoder-Decoder Self-Supervised Model for Telephonic-Speech ASR","date":"2022-11-03","arxiv_id":"2211.01669","repositories_listed":0,"syntology":null},{"url":null,"slug":"polybuilding-polygon-transformer-for-end-to","title":"PolyBuilding: Polygon Transformer for End-to-End Building Extraction","date":"2022-11-03","arxiv_id":"2211.01589","repositories_listed":0,"syntology":null},{"url":null,"slug":"streaming-audio-visual-speech-recognition","title":"Streaming Audio-Visual Speech Recognition with Alignment Regularization","date":"2022-11-03","arxiv_id":"2211.02133","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-parameter-estimation-using-model","title":"Unsupervised Parameter Estimation using Model-based Decoder","date":"2022-11-03","arxiv_id":"2211.01849","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-joint-framework-towards-class-aware-and","title":"A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation","date":"2022-11-02","arxiv_id":"2211.01310","repositories_listed":0,"syntology":null},{"url":null,"slug":"bectra-transducer-based-end-to-end-asr-with","title":"BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder","date":"2022-11-02","arxiv_id":"2211.00792","repositories_listed":0,"syntology":null},{"url":null,"slug":"lightvessel-exploring-lightweight-coronary","title":"LightVessel: Exploring Lightweight Coronary Artery Vessel Segmentation via Similarity Knowledge Distillation","date":"2022-11-02","arxiv_id":"2211.00899","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-syntactically-controlled","title":"Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations","date":"2022-11-02","arxiv_id":"2211.00881","repositories_listed":0,"syntology":null},{"url":null,"slug":"combined-space-time-reduced-order-model-with","title":"Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics","date":"2022-11-01","arxiv_id":"2211.00307","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-caption-generation-for-low-resource","title":"Image Caption Generation for Low-Resource Assamese Language","date":"2022-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mhitnet-a-minimize-network-with-a","title":"MHITNet: a minimize network with a hierarchical context-attentional filter for segmenting medical ct images","date":"2022-11-01","arxiv_id":"2211.00700","repositories_listed":0,"syntology":null},{"url":null,"slug":"order-sensitive-neural-constituency-parsing","title":"Order-sensitive Neural Constituency Parsing","date":"2022-11-01","arxiv_id":"2211.00421","repositories_listed":0,"syntology":null},{"url":null,"slug":"siamese-transition-masked-autoencoders-as","title":"Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector","date":"2022-11-01","arxiv_id":"2211.00349","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-text-to-speech-with-flow-based","title":"Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation","date":"2022-10-31","arxiv_id":"2210.17264","repositories_listed":0,"syntology":null},{"url":"/paper/gebnet-graph-enhancement-branch-network-for","slug":"gebnet-graph-enhancement-branch-network-for","title":"GEBNet: Graph-Enhancement Branch Network for RGB-T Scene Parsing","date":"2022-10-31","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"modular-hybrid-autoregressive-transducer","title":"Modular Hybrid Autoregressive Transducer","date":"2022-10-31","arxiv_id":"2210.17049","repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-state-space-decoder-for-speech","title":"Structured State Space Decoder for Speech Recognition and Synthesis","date":"2022-10-31","arxiv_id":"2210.17098","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-empowered-visual-attention-prediction","title":"Context-empowered Visual Attention Prediction in Pedestrian Scenarios","date":"2022-10-30","arxiv_id":"2210.16933","repositories_listed":0,"syntology":null},{"url":null,"slug":"dude-dual-decoder-multilingual-asr-for-indian","title":"DuDe: Dual-Decoder Multilingual ASR for Indian Languages using Common Label Set","date":"2022-10-30","arxiv_id":"2210.16739","repositories_listed":0,"syntology":null},{"url":null,"slug":"symmetric-saliency-based-adversarial-attack","title":"Symmetric Saliency-based Adversarial Attack To Speaker Identification","date":"2022-10-30","arxiv_id":"2210.16777","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerating-rnn-t-training-and-inference","title":"Accelerating RNN-T Training and Inference Using CTC guidance","date":"2022-10-29","arxiv_id":"2210.16481","repositories_listed":0,"syntology":null},{"url":null,"slug":"implantformer-vision-transformer-based","title":"ImplantFormer: Vision Transformer based Implant Position Regression Using Dental CBCT Data","date":"2022-10-29","arxiv_id":"2210.16467","repositories_listed":0,"syntology":null},{"url":null,"slug":"pair-detr-contrastive-learning-speeds-up-detr","title":"Pair DETR: Contrastive Learning Speeds Up DETR Training","date":"2022-10-29","arxiv_id":"2210.16476","repositories_listed":0,"syntology":null},{"url":null,"slug":"digital-twins-of-physical-printing-imaging","title":"Digital twins of physical printing-imaging channel","date":"2022-10-28","arxiv_id":"2210.17420","repositories_listed":0,"syntology":null},{"url":null,"slug":"forecasting-local-behavior-of-multi-agent","title":"Forecasting Local Behavior of Self-organizing Many-agent System without Reconstruction","date":"2022-10-28","arxiv_id":"2210.17289","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-transformer-for-parallel","title":"Multimodal Transformer for Parallel Concatenated Variational Autoencoders","date":"2022-10-28","arxiv_id":"2210.16174","repositories_listed":0,"syntology":null},{"url":null,"slug":"period-vits-variational-inference-with","title":"Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis","date":"2022-10-28","arxiv_id":"2210.15964","repositories_listed":0,"syntology":null},{"url":null,"slug":"psformer-point-transformer-for-3d-salient","title":"PSFormer: Point Transformer for 3D Salient Object Detection","date":"2022-10-28","arxiv_id":"2210.15933","repositories_listed":0,"syntology":null},{"url":null,"slug":"full-scale-deeply-supervised-attention","title":"Full-scale Deeply Supervised Attention Network for Segmenting COVID-19 Lesions","date":"2022-10-27","arxiv_id":"2210.15571","repositories_listed":0,"syntology":null},{"url":null,"slug":"li3detr-a-lidar-based-3d-detection","title":"Li3DeTr: A LiDAR based 3D Detection Transformer","date":"2022-10-27","arxiv_id":"2210.15365","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-order-selection-with-variational","title":"Model Order Selection with Variational Autoencoding","date":"2022-10-27","arxiv_id":"2210.15407","repositories_listed":0,"syntology":null},{"url":null,"slug":"probnerf-uncertainty-aware-inference-of-3d","title":"ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images","date":"2022-10-27","arxiv_id":"2210.17415","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-autoregressive-speech-recognition","title":"Training Autoregressive Speech Recognition Models with Limited in-domain Supervision","date":"2022-10-27","arxiv_id":"2210.15135","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-semantic-segmentation-of-6","title":"Weakly Supervised Semantic Segmentation of Echocardiography Videos via Multi-level Features Selection","date":"2022-10-27","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"can-transformer-attention-spread-give","title":"Can Transformer Attention Spread Give Insights Into Uncertainty of Detected and Tracked Objects?","date":"2022-10-26","arxiv_id":"2210.14391","repositories_listed":0,"syntology":null},{"url":null,"slug":"fad-vlp-fashion-vision-and-language-pre","title":"FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning","date":"2022-10-26","arxiv_id":"2210.15028","repositories_listed":0,"syntology":null},{"url":null,"slug":"scaling-laws-beyond-backpropagation","title":"Scaling Laws Beyond Backpropagation","date":"2022-10-26","arxiv_id":"2210.14593","repositories_listed":0,"syntology":null},{"url":null,"slug":"adapitch-adaption-multi-speaker-text-to","title":"Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data","date":"2022-10-25","arxiv_id":"2210.13803","repositories_listed":0,"syntology":null},{"url":null,"slug":"connectedunets-mass-segmentation-from-whole","title":"ConnectedUNets++: Mass Segmentation from Whole Mammographic Images","date":"2022-10-25","arxiv_id":"2210.13668","repositories_listed":0,"syntology":null},{"url":null,"slug":"linguistic-enhanced-transformer-with-ctc","title":"Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition","date":"2022-10-25","arxiv_id":"2210.14725","repositories_listed":0,"syntology":null},{"url":null,"slug":"nas-prnet-neural-architecture-search","title":"NAS-PRNet: Neural Architecture Search generated Phase Retrieval Net for Off-axis Quantitative Phase Imaging","date":"2022-10-25","arxiv_id":"2210.14231","repositories_listed":0,"syntology":null},{"url":null,"slug":"streaming-parrotron-for-on-device-speech-to","title":"Streaming Parrotron for on-device speech-to-speech conversion","date":"2022-10-25","arxiv_id":"2210.13761","repositories_listed":0,"syntology":null},{"url":null,"slug":"depth-monocular-estimation-with-attention","title":"Depth Monocular Estimation with Attention-based Encoder-Decoder Network from Single Image","date":"2022-10-24","arxiv_id":"2210.13646","repositories_listed":0,"syntology":null},{"url":null,"slug":"does-self-rationalization-improve-robustness","title":"Does Self-Rationalization Improve Robustness to Spurious Correlations?","date":"2022-10-24","arxiv_id":"2210.13575","repositories_listed":0,"syntology":null},{"url":null,"slug":"p-3-lm-probabilistically-permuted-prophet","title":"P$^3$LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training","date":"2022-10-22","arxiv_id":"2210.12339","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-visual-context-improve-automatic-speech","title":"Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?","date":"2022-10-21","arxiv_id":"2210.13189","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-encoder-decoder-redundant-for-neural","title":"Is Encoder-Decoder Redundant for Neural Machine Translation?","date":"2022-10-21","arxiv_id":"2210.11807","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-fields-for-robotic-object-manipulation","title":"One-Shot Neural Fields for 3D Object Understanding","date":"2022-10-21","arxiv_id":"2210.12126","repositories_listed":0,"syntology":null},{"url":null,"slug":"idm-follower-a-model-informed-deep-learning","title":"IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction","date":"2022-10-20","arxiv_id":"2210.10965","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-regressive-neural-machine-translation-2","title":"Hybrid-Regressive Neural Machine Translation","date":"2022-10-19","arxiv_id":"2210.10416","repositories_listed":0,"syntology":null},{"url":null,"slug":"segmentation-free-direct-iris-localization","title":"Segmentation-free Direct Iris Localization Networks","date":"2022-10-19","arxiv_id":"2210.10403","repositories_listed":0,"syntology":null},{"url":null,"slug":"personalization-of-ctc-speech-recognition","title":"Towards Personalization of CTC Speech Recognition Models with Contextual Adapters and Adaptive Boosting","date":"2022-10-18","arxiv_id":"2210.09510","repositories_listed":0,"syntology":null},{"url":null,"slug":"defects-of-convolutional-decoder-networks-in","title":"Defects of Convolutional Decoder Networks in Frequency Representation","date":"2022-10-17","arxiv_id":"2210.09020","repositories_listed":0,"syntology":null},{"url":null,"slug":"pixel-aligned-non-parametric-hand-mesh","title":"Pixel-Aligned Non-parametric Hand Mesh Reconstruction","date":"2022-10-17","arxiv_id":"2210.09198","repositories_listed":0,"syntology":null},{"url":null,"slug":"protein-sequence-and-structure-co-design-with","title":"Protein Sequence and Structure Co-Design with Equivariant Translation","date":"2022-10-17","arxiv_id":"2210.08761","repositories_listed":0,"syntology":null},{"url":null,"slug":"scale-agnostic-super-resolution-in-mri-using","title":"Scale-Agnostic Super-Resolution in MRI using Feature-Based Coordinate Networks","date":"2022-10-17","arxiv_id":"2210.08676","repositories_listed":0,"syntology":null},{"url":null,"slug":"table-to-text-generation-and-pre-training","title":"Table-To-Text generation and pre-training with TabT5","date":"2022-10-17","arxiv_id":"2210.09162","repositories_listed":0,"syntology":null},{"url":null,"slug":"star-zero-shot-chinese-character-recognition","title":"STAR: Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions","date":"2022-10-16","arxiv_id":"2210.08490","repositories_listed":0,"syntology":null},{"url":"/paper/transformer-based-approach-for-document","slug":"transformer-based-approach-for-document","title":"Transformer-based Approach for Document Understanding","date":"2022-10-16","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"edb304ad0fe0ae4fd80af88ee8b50f9762a7a5af5a67d0b10d3e1f8a4b2b22ee","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}