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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Action-Sketcher: From Reasoning to Action via Visual Sketches for Robotic Manipulation CVPR 2026 Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models CVPR 2026 AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation CVPR 2026 AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks CVPR 2026 AdaDexTrack: Dynamic Modulation for Adaptive and Generalizable Dexterous Manipulation Tracking CVPR 2026 AdaDPI: Document-level Translation Adaptive Agent via Dynamic Parametric Internalization ACL 2026 AdaFuse: Adaptive Ensemble Decoding for Large Language Models ACL 2026 AdaFuse: Adaptive Multimodal Fusion for Lung Cancer Risk Prediction via Reinforcement Learning MIDL 2026 AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters ACL 2026 Adam’s Law: Textual Frequency Law on Large Language Models ACL 2026 Adapting World Models with Latent-State Dynamics Residuals L4DC 2026 Adaptive Capacity Autoregressive Visual Tracking CVPR 2026 Adaptive Confidence Regularization for Multimodal Failure Detection CVPR 2026 Adaptive Cumulative Mass Calibration with Conformal Prediction UAI 2026 Adaptive Depth Lightweight RGB-T Tracking with Holistic Token Routing CVPR 2026 Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search ACL 2026 Adaptive Spatial and Temporal Redundancy Optimization for Efficient Reasoning in Large Language Models ACL 2026 Adaptive Spatial-Temporal Window: Unlocking the Potential of Event Cameras in Heterogeneous Velocity Scenarios CVPR 2026 Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation CVPR 2026 Adaptive Weighted Proxy Tuning: Efficient Gray-Box Steering for Image Captioning. ACL 2026 A Data-Augmented Contrastive Learning Approach to Nonparametric Density Estimation JMLR 2026 A Data-Centric Approach to Generalizable Speech Deepfake Detection ACL 2026 Addressing Exacerbated Attention Sink for Source-Free Cross-Domain Few-Shot Learning CVPR 2026 Addressing the Ecological Fallacy in Larger LMs with Human Context CoNLL 2026 AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following ACL 2026