conftrace_

Deep Learning

78,198 papers (26 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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859

1,652

3,233

5,368

6,434

7,726

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9,951

12,524

14,487

6,029

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Papers (including subtopics)

Blurry Video Compression: A Trade-Off Between Visual Enhancement and Data Compression WACV 2024 BMRS: Bayesian Model Reduction for Structured Pruning NeurIPS 2024 BMX: Boosting Natural Language Generation Metrics with Explainability EACL 2024 BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed CVPR 2024 Body Transformer: Leveraging Robot Embodiment for Policy Learning CoRL 2024 BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining AAAI 2024 BOLD: Boolean Logic Deep Learning NeurIPS 2024 BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NeurIPS 2024 Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots ACL 2024 BookWorm: A Dataset for Character Description and Analysis EMNLP 2024 BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? EMNLP 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NeurIPS 2024 BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion IJCAI 2024 Boosted Conformal Prediction Intervals NeurIPS 2024 Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024 Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NeurIPS 2024 Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024 Boosting CTC-based ASR using inter-layer attention-based CTC loss Interspeech 2024 Boosting Diffusion Models with Moving Average Sampling in Frequency Domain CVPR 2024 Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024 Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NeurIPS 2024 Boosting Graph Anomaly Detection with Adaptive Message Passing ICLR 2024 Boosting Graph Pooling with Persistent Homology NeurIPS 2024 Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement CVPR 2024