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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel ICLR 2025 Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations CVPR 2025 Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection via Cross-Domain Retrieval Augmentation ICCV 2025 Borrowing From the Future: Enhancing Early Risk Assessment through Contrastive Learning MLHC 2025 BOSE: A Systematic Evaluation Method Optimized for Base Models ACL 2025 Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System AAAI 2025 Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM EMNLP 2025 Boundary Probing for Input Privacy Protection When Using LMM Services ICCV 2025 Bounded Rationality Equilibrium Learning in Mean Field Games AAAI 2025 BOUQuET : dataset, Benchmark and Open initiative for Universal Quality Evaluation in Translation EMNLP 2025 BPP-Search: Enhancing Tree of Thought Reasoning for Mathematical Modeling Problem Solving ACL 2025 BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks EMNLP 2025 Brain-Inspired Spiking Neural Networks for Energy-Efficient Object Detection CVPR 2025 BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications ICLR 2025 Bratly: A Python Extension for BRAT Functionalities EMNLP 2025 Breaking Bad Tokens: Detoxification of LLMs Using Sparse Autoencoders EMNLP 2025 Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature AAAI 2025 Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space ACL 2025 Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy CVPR 2025 Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution ACL 2025 Breaking the Reclustering Barrier in Centroid-based Deep Clustering ICLR 2025 Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks EMNLP 2025 Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models IJCAI 2025 Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models COLING 2025 Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages ACL 2025