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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5
1
2
47
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51
87
90
125
229
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453
859
1,652
3,233
5,368
6,434
7,726
8,506
9,951
12,524
14,487
6,029
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Papers (including subtopics)
LaVR: Scene Latent Conditioned Generative Video Trajectory Re-Rendering using Large 4D Reconstruction Models
CVPR 2026
Layer Consistency Matters: Elegant Latent Transition Discrepancy for Generalizable Synthetic Image Detection
CVPR 2026
Layered 4D-Rotor Gaussian Splatting: A Compressed Representation for Long Dynamic Scenes
CVPR 2026
Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
ACL 2026
Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers
CVPR 2026
LayoutAD: Exploring Semantic-Geometric Misalignment Reasoning for Scene Layout Anomaly Detection
CVPR 2026
Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers
AAAI 2026
LazyEviction: Lagged KV Eviction with Attention Pattern Observation for Efficient Long Reasoning
ACL 2026
LazyVAR: Accelerating Visual Autoregressive Models via Scale-wise Token Pruning and Parallel Group Decoding
CVPR 2026
LC3: Long Cross-Language Code Clone Detection Enhanced by Opcode Sequences and Affinity Aggregation
AAAI 2026
LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning
ACL 2026
LEADER: Learning Reliable Local-to-Global Correspondences for LiDAR Relocalization
CVPR 2026
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models
ACL 2026
LeapAlign: Post-training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories
CVPR 2026
LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference
ACL 2026
Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge
AAAI 2026
Learnability-Guided Diffusion for Dataset Distillation
CVPR 2026
Learnable Matrix Profile for Motif Discovery on Multivariate Time Series
AAAI 2026
Learnable Query-Enhanced Pose Transformation
WACV 2026
Learned Image Compression via Sparse Attention and Adaptive Frequency
CVPR 2026
Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
AAAI 2026
Learning 3D Shape Fidelity Metric from Real-world Distortions
CVPR 2026
Learning Action Hierarchies via Hybrid Geometric Diffusion
WACV 2026
Learning Adaptive and Expandable Mixture Model for Continual Learning
AAAI 2026
Learning and Aligning Click-Aware Shape Prior for Interactive Amodal Instance Segmentation
CVPR 2026