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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)

Regularizing Learnable Feature Extraction for Automatic Speech Recognition Interspeech 2025 REIC: RAG-Enhanced Intent Classification at Scale EMNLP 2025 Re-identification of De-identified Documents with Autoregressive Infilling ACL 2025 Reimagining Safety Alignment with An Image EMNLP 2025 ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model WACV 2025 Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval ACL 2025 Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization AAAI 2025 Reinforcement Learning for Large Language Models via Group Preference Reward Shaping EMNLP 2025 Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters AAAI 2025 RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation ACL 2025 Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning ACML 2025 ReLearn: Unlearning via Learning for Large Language Models ACL 2025 Reliable and Diverse Hierarchical Adapter for Zero-shot Video Classification IJCAI 2025 RELIC: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples EMNLP 2025 Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization CVPR 2025 ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters AAAI 2025 ReMoGPT: Part-Level Retrieval-Augmented Motion-Language Models AAAI 2025 Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation WACV 2025 Removing Prompt-template Bias in Reinforcement Learning from Human Feedback ACL 2025 ReMP-AD: Retrieval-enhanced Multi-modal Prompt Fusion for Few-Shot Industrial Visual Anomaly Detection ICCV 2025 RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation WACV 2025 ReNeg: Learning Negative Embedding with Reward Guidance CVPR 2025 RePanda: Pandas-powered Tabular Verification and Reasoning ACL 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025 RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition AAAI 2025