Deep Learning
78,198 papers (26 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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2
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87
90
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453
859
1,652
3,233
5,368
6,434
7,726
8,506
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12,524
14,487
6,029
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Papers (including subtopics)
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
ICLR 2025
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
CVPR 2025
DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks
ICLR 2025
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
WACV 2025
Distilling an End-to-End Voice Assistant Without Instruction Training Data
ACL 2025
Distilling a speech and music encoder with task arithmetic
Interspeech 2025
Distilling Cross-Modal Knowledge into Domain-Specific Retrievers for Enhanced Industrial Document Understanding
EMNLP 2025
Distilling Dataset into Neural Field
ICLR 2025
Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion
ICCV 2025
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
AAAI 2025
Distilling Many-Shot In-Context Learning into a Cheat Sheet
EMNLP 2025
Distilling Multi-modal Large Language Models for Autonomous Driving
CVPR 2025
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
ICCV 2025
Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
CVPR 2025
Distilling Structural Representations into Protein Sequence Models
ICLR 2025
Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization
AAAI 2025
Distilling the Knowledge in Data Pruning
ICML 2025
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models
ACL 2025
DisTime: Distribution-based Time Representation for Video Large Language Models
ICCV 2025
Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation
IJCAI 2025
Distributed Conformal Prediction via Message Passing
ICML 2025
Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning
ICML 2025
Distributional Diffusion Models with Scoring Rules
ICML 2025
Distributional Off-policy Evaluation with Bellman Residual Minimization
AISTATS 2025
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
ICLR 2025