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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)

Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring ACL 2026 Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation CVPR 2026 Rethinking Table Pruning in TableQA: From Sequential Revisions to Gold Trajectory-Supervised Parallel Search ACL 2026 Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents ACL 2026 Rethinking UMM Visual Generation: Masked Modeling for Efficient Image-Only Pre-training CVPR 2026 Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning ACL 2026 Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models ACL 2026 Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation? CVPR 2026 Retrieve-to-Restore: Efficient All-in-One Image Restoration with a Retrieval-Based Degradation Bank CVPR 2026 Retrieving to Recover: Towards Incomplete Audio-Visual Question Answering via Semantic-consistent Purification ACL 2026 Reusable Experiences: Latent Routing and Modular Composition in LLMs ACL 2026 Revealing Hidden Failure Modes in Chest X-ray Classification via Spectral Domain Analysis MIDL 2026 Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient Organization ACL 2026 Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs ACL 2026 REVEAL: Multimodal Vision–Language Alignment of Retinal Morphometry and Clinical Risks for Incident AD and Dementia Prediction MIDL 2026 Revisiting 2D Foundation Models for Scalable 3D Medical Image Classification CVPR 2026 Revisiting Age of Acquisition in Curriculum Learning: Disentangling Lexical Features and Semantic Structure CoNLL 2026 Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation ACL 2026 Revisiting the Necessity of Full Accuracy: Weakly Supervised Object-Level Offset Correction for Misaligned Building Labels CVPR 2026 Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization CVPR 2026 Revisiting Visual Corruptions in LVLMs: A Shape-Texture Perspective on Model Failures CVPR 2026 Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding ACL 2026 REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding CVPR 2026 Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach ACL 2026 Reward Alignment Optimization: A Direct Point-wise Alignment Approach ACL 2026