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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)

Weakly Supervised Gland Segmentation with Class Semantic Consistency and Purified Labels Filtration AAAI 2025 Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion CVPR 2025 Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models CVPR 2025 WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation CVPR 2025 WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba Diffusion CVPR 2025 WeaveSeg: Iterative Contrast-weaving and Spectral Feature-refining for Nuclei Instance Segmentation ICCV 2025 Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains ACL 2025 Webis at CQs-Gen 2025: Prompting and Reranking for Critical Questions ACL 2025 WebWalker: Benchmarking LLMs in Web Traversal ACL 2025 Weight Factorization and Centralization for Continual Learning in Speech Recognition Interspeech 2025 Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning ACL 2025 We Politely Insist: Your LLM Must Learn the Persian Art of Taarof EMNLP 2025 WEPO: Web Element Preference Optimization for LLM-based Web Navigation AAAI 2025 WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia ACL 2025 What are Foundation Models Cooking in the Post-Soviet World? EMNLP 2025 What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning AAAI 2025 What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices ACL 2025 What can Large Language Models Capture about Code Functional Equivalence? NAACL 2025 What Can We Learn From MIMO Graph Convolutions? IJCAI 2025 What if Othello-Playing Language Models Could See? EMNLP 2025 What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations ACL 2025 What Makes a Good Dataset for Knowledge Distillation? CVPR 2025 What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning EMNLP 2025 What Makes for Good Image Captions? EMNLP 2025 What Matters in Learning from Large-Scale Datasets for Robot Manipulation ICLR 2025