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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)

InterPhys: Physics-aware Human Motion Synthesis in a Dynamic Scene CVPR 2026 Interpretable Prompts made Edit-Friendly: Token-to-Token Similarity Reduction in dLLMs for Edit-Friendly Hard Prompt Inversion CVPR 2026 Interpretable Spatial-Temporal Forecasting via Additive Neural Decomposition and Knowledge Distillation UAI 2026 Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation ACL 2026 InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions CVPR 2026 Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics CVPR 2026 Intra-class Distribution-guided Generative Hashing with Neighbor Refinement for Cross-modal Retrieval CVPR 2026 InTrain: Intrinsic Trainability for Zero-Cost Neural Architecture Search CVPR 2026 IntroSVG: Learning from Rendering Feedback for Text-to-SVG Generation via an Introspective Generator-Critic Framework CVPR 2026 InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training CVPR 2026 Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters ACL 2026 Investigating Self-Supervised Representations for Audio-Visual Deepfake Detection CVPR 2026 Investigating the Histogram Loss in Regression JMLR 2026 Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation CVPR 2026 IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning ACL 2026 Is Agentic RAG worth it? An experimental comparison of RAG approaches ACL 2026 IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking ACL 2026 Is Parameter Isolation Better for Prompt-Based Continual Learning? CVPR 2026 Is this chart lying to me? Automating the detection of misleading visualizations ACL 2026 Iterative Dual-Model Alignment for Story Evaluation ACL 2026 IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering ACL 2026 J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization ACL 2026 JCT at SemEval-2026 Task 1: Let the Best Joke Win - A Generate - and-Rank Approach to Constrained Humor SemEval 2026 Joint-Aligned Latent Action: Towards Scalable VLA Pretraining in the Wild CVPR 2026 Joint Learning of General and Diverse Patterns with Mixture of Memory Experts for Weakly-Supervised Video Anomaly Detection CVPR 2026