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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)

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025 IndicClaimBuster: A Multilingual Claim Verification Dataset IJCNLP 2025 Indirect Gradient Matching for Adversarial Robust Distillation ICLR 2025 In-Domain African Languages Translation Using LLMs and Multi-armed Bandits ACL 2025 Indonesian Speech Content De-Identification in Low Resource Transcripts COLING 2025 InductionBench: LLMs Fail in the Simplest Complexity Class ACL 2025 Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning NAACL 2025 Inductive Reasoning on Few-Shot Knowledge Graphs with Task-Aware Language Models EMNLP 2025 iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News ACL 2025 InfAL: Inference Time Adversarial Learning for Improving Research Ideation EMNLP 2025 Infant Action Generative Modeling WACV 2025 Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models ICLR 2025 Inference of Human-derived Specifications of Object Placement via Demonstration IJCAI 2025 Inference Scaling for Bridging Retrieval and Augmented Generation NAACL 2025 Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection ACL 2025 Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning CVPR 2025 InfiniDreamer: Arbitrarily Long Human Motion Generation via Segment Score Distillation ICCV 2025 InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model ACL 2025 Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation AISTATS 2025 Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack AAAI 2025 Influence-driven Curriculum Learning for Pre-training on Limited Data EMNLP 2025 InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering EMNLP 2025 Infogent: An Agent-Based Framework for Web Information Aggregation NAACL 2025 InfoNCE: Identifying the Gap Between Theory and Practice AISTATS 2025 Information Density Principle for MLLM Benchmarks ICCV 2025