{"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/67","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":67,"pages_in_order":104,"rows_per_page":100,"rows":[6601,6700],"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/66","next":"/task/decoder/papers/68","papers":[{"url":null,"slug":"joint-mae-2d-3d-joint-masked-autoencoders-for","title":"Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training","date":"2023-02-27","arxiv_id":"2302.14007","repositories_listed":0,"syntology":null},{"url":null,"slug":"saliency-driven-hierarchical-learned-image","title":"Saliency-Driven Hierarchical Learned Image Coding for Machines","date":"2023-02-27","arxiv_id":"2302.13581","repositories_listed":0,"syntology":null},{"url":null,"slug":"wireless-end-to-end-image-transmission-system","title":"Wireless End-to-End Image Transmission System using Semantic Communications","date":"2023-02-27","arxiv_id":"2302.13721","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-centric-ai-deep-generative","title":"Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection","date":"2023-02-26","arxiv_id":"2302.13221","repositories_listed":0,"syntology":null},{"url":null,"slug":"abstractive-text-summarization-using","title":"Abstractive Text Summarization using Attentive GRU based Encoder-Decoder","date":"2023-02-25","arxiv_id":"2302.13117","repositories_listed":0,"syntology":null},{"url":null,"slug":"medical-visual-question-answering-using-joint","title":"Medical visual question answering using joint self-supervised learning","date":"2023-02-25","arxiv_id":"2302.13069","repositories_listed":0,"syntology":null},{"url":null,"slug":"uavsnet-an-encoder-decoder-architecture-based","title":"RemoteNet: Remote Sensing Image Segmentation Network based on Global-Local Information","date":"2023-02-25","arxiv_id":"2302.13084","repositories_listed":0,"syntology":null},{"url":null,"slug":"controlled-and-conditional-text-to-image","title":"Controlled and Conditional Text to Image Generation with Diffusion Prior","date":"2023-02-23","arxiv_id":"2302.11710","repositories_listed":0,"syntology":null},{"url":null,"slug":"empathetic-response-generation-via-emotion","title":"Empathetic Response Generation via Emotion Cause Transition Graph","date":"2023-02-23","arxiv_id":"2302.11787","repositories_listed":0,"syntology":null},{"url":null,"slug":"time-varying-signals-recovery-via-graph","title":"Time-varying Signals Recovery via Graph Neural Networks","date":"2023-02-22","arxiv_id":"2302.11313","repositories_listed":0,"syntology":null},{"url":null,"slug":"effects-of-architectures-on-continual","title":"Effects of Architectures on Continual Semantic Segmentation","date":"2023-02-21","arxiv_id":"2302.10718","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-pooling-network-for-medical-image","title":"Non-pooling Network for medical image segmentation","date":"2023-02-21","arxiv_id":"2302.10412","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-speech-enhancement-with-dynamic","title":"Real-time speech enhancement with dynamic attention span","date":"2023-02-21","arxiv_id":"2302.10377","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-simultaneous-segmentation-of-liver","title":"Towards Simultaneous Segmentation of Liver Tumors and Intrahepatic Vessels via Cross-attention Mechanism","date":"2023-02-20","arxiv_id":"2302.09785","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stream-decoder-feature-normality","title":"Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection","date":"2023-02-20","arxiv_id":"2302.09794","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-on-a-diet-datum-index","title":"Unsupervised Learning on a DIET: Datum IndEx as Target Free of Self-Supervision, Reconstruction, Projector Head","date":"2023-02-20","arxiv_id":"2302.10260","repositories_listed":0,"syntology":null},{"url":null,"slug":"autocodificadores-variacionales-vae","title":"Autocodificadores Variacionales (VAE) Fundamentos Teóricos y Aplicaciones","date":"2023-02-18","arxiv_id":"2302.09363","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-view-clustering-from-the-perspective-of","title":"Multi-View Clustering from the Perspective of Mutual Information","date":"2023-02-17","arxiv_id":"2302.08743","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-3d-object-reconstruction-using","title":"Efficient 3D Object Reconstruction using Visual Transformers","date":"2023-02-16","arxiv_id":"2302.08474","repositories_listed":0,"syntology":null},{"url":null,"slug":"personalized-audio-quality-preference","title":"Personalized Audio Quality Preference Prediction","date":"2023-02-16","arxiv_id":"2302.08130","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-driven-visual-synthesis-with-latent","title":"Text-driven Visual Synthesis with Latent Diffusion Prior","date":"2023-02-16","arxiv_id":"2302.08510","repositories_listed":0,"syntology":null},{"url":null,"slug":"plug-and-play-deep-energy-model-for-inverse","title":"Plug-and-Play Deep Energy Model for Inverse problems","date":"2023-02-15","arxiv_id":"2302.11570","repositories_listed":0,"syntology":null},{"url":null,"slug":"preditor-text-guided-image-editing-with","title":"PRedItOR: Text Guided Image Editing with Diffusion Prior","date":"2023-02-15","arxiv_id":"2302.07979","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-modeling-of-5g-core","title":"Deep Learning-Based Modeling of 5G Core Control Plane for 5G Network Digital Twin","date":"2023-02-14","arxiv_id":"2302.06980","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-attention-multi-agent-fleet-autonomy","title":"Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility","date":"2023-02-14","arxiv_id":"2302.07337","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthesizing-audio-from-tongue-motion-during","title":"Synthesizing audio from tongue motion during speech using tagged MRI via transformer","date":"2023-02-14","arxiv_id":"2302.07203","repositories_listed":0,"syntology":null},{"url":null,"slug":"vq3d-learning-a-3d-aware-generative-model-on","title":"VQ3D: Learning a 3D-Aware Generative Model on ImageNet","date":"2023-02-14","arxiv_id":"2302.06833","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-layer-image-compression-via-adaptive","title":"Dual-layer Image Compression via Adaptive Downsampling and Spatially Varying Upconversion","date":"2023-02-13","arxiv_id":"2302.06096","repositories_listed":0,"syntology":null},{"url":null,"slug":"pups-point-cloud-unified-panoptic","title":"PUPS: Point Cloud Unified Panoptic Segmentation","date":"2023-02-13","arxiv_id":"2302.06185","repositories_listed":0,"syntology":null},{"url":null,"slug":"vector-quantized-wasserstein-auto-encoder","title":"Vector Quantized Wasserstein Auto-Encoder","date":"2023-02-12","arxiv_id":"2302.05917","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-by-applying-a-general-framework-for","title":"Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning","date":"2023-02-11","arxiv_id":"2302.05717","repositories_listed":0,"syntology":null},{"url":null,"slug":"distillation-of-encoder-decoder-transformers","title":"Distillation of encoder-decoder transformers for sequence labelling","date":"2023-02-10","arxiv_id":"2302.05454","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-summary-guidance-on-medical-report","title":"Leveraging Summary Guidance on Medical Report Summarization","date":"2023-02-08","arxiv_id":"2302.04001","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-the-privacy-leakage-via-graph","title":"Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)","date":"2023-02-08","arxiv_id":"2302.04373","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-the-performance-of-hybrid","title":"Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder-Decoder neural network","date":"2023-02-08","arxiv_id":"2302.04126","repositories_listed":0,"syntology":null},{"url":null,"slug":"stacked-cross-modal-feature-consolidation","title":"Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning","date":"2023-02-08","arxiv_id":"2302.04676","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-the-performance-of-deep-encoder","title":"Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation","date":"2023-02-07","arxiv_id":"2302.03786","repositories_listed":0,"syntology":null},{"url":null,"slug":"ib-uq-information-bottleneck-based","title":"IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning","date":"2023-02-07","arxiv_id":"2302.03271","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-bias-corrections-for-climate-models","title":"Learning bias corrections for climate models using deep neural operators","date":"2023-02-07","arxiv_id":"2302.03173","repositories_listed":0,"syntology":null},{"url":null,"slug":"covid-19-infection-analysis-framework-using","title":"COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological Images","date":"2023-02-06","arxiv_id":"2302.02619","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-distillation-in-vision-transformers","title":"Knowledge Distillation in Vision Transformers: A Critical Review","date":"2023-02-04","arxiv_id":"2302.02108","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-diffusion-network-for-semantic-1","title":"Semantic Diffusion Network for Semantic Segmentation","date":"2023-02-04","arxiv_id":"2302.02057","repositories_listed":0,"syntology":null},{"url":null,"slug":"weight-is-attention-all-we-need-aeiuorder","title":"Greedy Ordering of Layer Weight Matrices in Transformers Improves Translation","date":"2023-02-04","arxiv_id":"2302.02123","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-domain-adaptation-for-speech","title":"Efficient Domain Adaptation for Speech Foundation Models","date":"2023-02-03","arxiv_id":"2302.01496","repositories_listed":0,"syntology":null},{"url":null,"slug":"convolutional-autoencoders-clustering-and-pod","title":"Convolutional Autoencoders, Clustering and POD for Low-dimensional Parametrization of Navier-Stokes Equations","date":"2023-02-02","arxiv_id":"2302.01278","repositories_listed":0,"syntology":null},{"url":null,"slug":"curriculum-guided-abstractive-summarization-1","title":"Curriculum-Guided Abstractive Summarization","date":"2023-02-02","arxiv_id":"2302.01342","repositories_listed":0,"syntology":null},{"url":null,"slug":"energy-inspired-self-supervised-pretraining","title":"Energy-Inspired Self-Supervised Pretraining for Vision Models","date":"2023-02-02","arxiv_id":"2302.01384","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-unreasonable-effectiveness-of-few-shot","title":"The unreasonable effectiveness of few-shot learning for machine translation","date":"2023-02-02","arxiv_id":"2302.01398","repositories_listed":0,"syntology":null},{"url":null,"slug":"uw-cvgan-underwater-image-enhancement-with","title":"UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization","date":"2023-02-02","arxiv_id":"2302.01144","repositories_listed":0,"syntology":null},{"url":null,"slug":"catfl-certificateless-authentication-based","title":"CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications","date":"2023-02-01","arxiv_id":"2302.00271","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-segment-towards-a-single-unified","title":"Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans","date":"2023-02-01","arxiv_id":"2302.00162","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuous-u-net-faster-greater-and-noiseless","title":"Continuous U-Net: Faster, Greater and Noiseless","date":"2023-02-01","arxiv_id":"2302.00626","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-neural-network-based-surrogate-model-of","title":"Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design","date":"2023-02-01","arxiv_id":"2302.00557","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-scheduled-sampling-with-imitation","title":"Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation","date":"2023-01-31","arxiv_id":"2301.13753","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-models-for-biomedical-causal","title":"Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes","date":"2023-01-29","arxiv_id":"2301.12473","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-event-transformer-for-image-guided","title":"Multimodal Event Transformer for Image-guided Story Ending Generation","date":"2023-01-26","arxiv_id":"2301.11357","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-segmentation-enhanced-transformer","title":"Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction","date":"2023-01-26","arxiv_id":"2301.11022","repositories_listed":0,"syntology":null},{"url":null,"slug":"flow-guided-semi-supervised-video-object","title":"Flow-guided Semi-supervised Video Object Segmentation","date":"2023-01-25","arxiv_id":"2301.10492","repositories_listed":0,"syntology":null},{"url":null,"slug":"pre-computed-memory-or-on-the-fly-encoding-a","title":"Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute","date":"2023-01-25","arxiv_id":"2301.10448","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-unified-model-for-generating","title":"Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering","date":"2023-01-25","arxiv_id":"2301.10799","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-resource-compositional-semantic-parsing","title":"Low-Resource Compositional Semantic Parsing with Concept Pretraining","date":"2023-01-24","arxiv_id":"2301.09809","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-attention-based-alignment-network-for","title":"Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics","date":"2023-01-23","arxiv_id":"2301.10015","repositories_listed":0,"syntology":null},{"url":null,"slug":"gyroflow-gyroscope-guided-unsupervised-deep","title":"GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning","date":"2023-01-23","arxiv_id":"2301.10018","repositories_listed":0,"syntology":null},{"url":null,"slug":"vigu-vision-gnn-u-net-for-fast-mri","title":"ViGU: Vision GNN U-Net for Fast MRI","date":"2023-01-23","arxiv_id":"2302.10273","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-rgb-slam-with-neural-implicit-maps","title":"Dense RGB SLAM with Neural Implicit Maps","date":"2023-01-21","arxiv_id":"2301.08930","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-learning-approach-for-sar-tomographic","title":"A Deep Learning Approach for SAR Tomographic Imaging of Forested Areas","date":"2023-01-20","arxiv_id":"2301.08605","repositories_listed":0,"syntology":null},{"url":null,"slug":"accdecoder-accelerated-decoding-for-neural","title":"AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics","date":"2023-01-20","arxiv_id":"2301.08664","repositories_listed":0,"syntology":null},{"url":null,"slug":"difai-diverse-facial-inpainting-using","title":"DIFAI: Diverse Facial Inpainting using StyleGAN Inversion","date":"2023-01-20","arxiv_id":"2301.08443","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusionct-latent-diffusion-model-for-ct","title":"DiffusionCT: Latent Diffusion Model for CT Image Standardization","date":"2023-01-20","arxiv_id":"2301.08815","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-video-instance-segmentation","title":"Towards Robust Video Instance Segmentation with Temporal-Aware Transformer","date":"2023-01-20","arxiv_id":"2301.09416","repositories_listed":0,"syntology":null},{"url":null,"slug":"subject-independent-classification-of-brain","title":"Subject-Independent Classification of Brain Signals using Skip Connections","date":"2023-01-19","arxiv_id":"2301.07918","repositories_listed":0,"syntology":null},{"url":null,"slug":"hidanet-rgb-d-salient-object-detection-via","title":"HiDAnet: RGB-D Salient Object Detection via Hierarchical Depth Awareness","date":"2023-01-18","arxiv_id":"2301.07405","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-models-that-can-see-and-read","title":"Towards Models that Can See and Read","date":"2023-01-18","arxiv_id":"2301.07389","repositories_listed":0,"syntology":null},{"url":null,"slug":"hanoit-enhancing-context-aware-translation","title":"HanoiT: Enhancing Context-aware Translation via Selective Context","date":"2023-01-17","arxiv_id":"2301.06825","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-a-formality-aware-japanese-sentence","title":"Learning a Formality-Aware Japanese Sentence Representation","date":"2023-01-17","arxiv_id":"2301.07209","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-lightweight-salient-object","title":"Rethinking Lightweight Salient Object Detection via Network Depth-Width Tradeoff","date":"2023-01-17","arxiv_id":"2301.06679","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-stage-contextual-word-filtering-for","title":"Two Stage Contextual Word Filtering for Context bias in Unified Streaming and Non-streaming Transducer","date":"2023-01-17","arxiv_id":"2301.06735","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-based-novel-cascaded-approach","title":"Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis","date":"2023-01-16","arxiv_id":"2301.06226","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-aligned-cross-modal-representations-1","title":"Linguistic Query-Guided Mask Generation for Referring Image Segmentation","date":"2023-01-16","arxiv_id":"2301.06429","repositories_listed":0,"syntology":null},{"url":null,"slug":"s-2-net-accurate-panorama-depth-estimation-on","title":"${S}^{2}$Net: Accurate Panorama Depth Estimation on Spherical Surface","date":"2023-01-14","arxiv_id":"2301.05845","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-framework-for-handling-sparse-data-in","title":"A Novel Framework for Handling Sparse Data in Traffic Forecast","date":"2023-01-12","arxiv_id":"2301.05292","repositories_listed":0,"syntology":null},{"url":null,"slug":"age-of-information-in-deep-learning-driven","title":"Age of Information in Deep Learning-Driven Task-Oriented Communications","date":"2023-01-11","arxiv_id":"2301.04298","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-attribute-editing-with-disentangled","title":"Image-to-Image Translation with Disentangled Latent Vectors for Face Editing","date":"2023-01-11","arxiv_id":"2301.04628","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-contrastive-learning-for-self","title":"Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input","date":"2023-01-11","arxiv_id":"2301.04612","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-papr-mimo-ofdm-design-based-on","title":"Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder","date":"2023-01-11","arxiv_id":"2301.05017","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-level-point-embedding-for-solving","title":"Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction","date":"2023-01-11","arxiv_id":"2301.04482","repositories_listed":0,"syntology":null},{"url":null,"slug":"bicurnet-pre-movement-eeg-based-neural","title":"BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation","date":"2023-01-10","arxiv_id":"2301.03965","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-drivers-route-trajectories-in-last","title":"Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network","date":"2023-01-10","arxiv_id":"2301.03802","repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-case-based-reasoning-for-inference","title":"Structured Case-based Reasoning for Inference-time Adaptation of Text-to-SQL parsers","date":"2023-01-10","arxiv_id":"2301.04110","repositories_listed":0,"syntology":null},{"url":null,"slug":"transceiver-cooperative-learning-aided","title":"Transceiver Cooperative Learning-aided Semantic Communications Against Mismatched Background Knowledge Bases","date":"2023-01-09","arxiv_id":"2301.03133","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-image-captioning-algorithm-based-on-the","title":"An Image captioning algorithm based on the Hybrid Deep Learning Technique (CNN+GRU)","date":"2023-01-06","arxiv_id":"2301.02440","repositories_listed":0,"syntology":null},{"url":null,"slug":"conditional-generation-of-paired-antibody","title":"Generative Antibody Design for Complementary Chain Pairing Sequences through Encoder-Decoder Language Model","date":"2023-01-06","arxiv_id":"2301.02748","repositories_listed":0,"syntology":null},{"url":"/paper/rupnet-residual-upsampling-network-for-real","slug":"rupnet-residual-upsampling-network-for-real","title":"RUPNet: Residual upsampling network for real-time polyp segmentation","date":"2023-01-06","arxiv_id":"2301.02703","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-state-space-models","title":"Graph state-space models","date":"2023-01-04","arxiv_id":"2301.01741","repositories_listed":0,"syntology":null},{"url":null,"slug":"infomaxformer-maximum-entropy-transformer-for","title":"Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem","date":"2023-01-04","arxiv_id":"2301.01772","repositories_listed":0,"syntology":null},{"url":null,"slug":"object-segmentation-with-audio-context","title":"Object Segmentation with Audio Context","date":"2023-01-04","arxiv_id":"2301.10295","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-mae-masked-autoencoders-for-semi","title":"Semi-MAE: Masked Autoencoders for Semi-supervised Vision Transformers","date":"2023-01-04","arxiv_id":"2301.01431","repositories_listed":0,"syntology":null},{"url":null,"slug":"frequency-aware-learned-image-compression-for","title":"Frequency-aware Learned Image Compression for Quality Scalability","date":"2023-01-03","arxiv_id":"2301.01290","repositories_listed":0,"syntology":null},{"url":null,"slug":"3dsgrasp-3d-shape-completion-for-robotic","title":"3DSGrasp: 3D Shape-Completion for Robotic Grasp","date":"2023-01-02","arxiv_id":"2301.00866","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-geocoding","title":"Transformer Based Geocoding","date":"2023-01-02","arxiv_id":"2301.01170","repositories_listed":0,"syntology":null}],"record_sha256":"cedb949bd4affa9ebbc516213e35c3d7188b4da21966560338591e2a5ed6a8f3","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}