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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)

Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning ICLR 2025 Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling ACL 2025 Understanding EFX Allocations: Counting and Variants AAAI 2025 Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu ACL 2025 Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning AAAI 2025 Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality AISTATS 2025 Understanding Matters: Semantic-Structural Determined Visual Relocalization for Large Scenes IJCAI 2025 Understanding Multi-Task Activities from Single-Task Videos CVPR 2025 Understanding Personal Concept in Open-Vocabulary Semantic Segmentation ICCV 2025 Understanding Reference Policies in Direct Preference Optimization NAACL 2025 Understanding the Dark Side of LLMs’ Intrinsic Self-Correction ACL 2025 Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study ICLR 2025 Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025 Understanding the Influence of Synthetic Data for Text Embedders ACL 2025 Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems EMNLP 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025 Understanding Unique Behavioral Patterns through Multimodal Analysis of Eye-Hand Coordination in Autistic Children (Student Abstract) AAAI 2025 Understanding Visual Detail Hallucinations of Large Vision-Language Models IJCAI 2025 Understand the Implication: Learning to Think for Pragmatic Understanding ACL 2025 UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection AAAI 2025 Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning EMNLP 2025 UNEDTeam at SemEval-2025 Task 10: Zero-Shot Narrative Classification SemEval 2025 Unfamiliar Finetuning Examples Control How Language Models Hallucinate NAACL 2025 Uniandes at TSAR 2025 Shared Task Multi-Agent CEFR Text Simplification with Automated Quality Assessment and Iterative Refinement EMNLP 2025 UniBuc-AE at SemEval-2025 Task 7: Training Text Embedding Models for Multilingual and Crosslingual Fact-Checked Claim Retrieval SemEval 2025