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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)

Is In-Context Learning Sufficient for Instruction Following in LLMs? ICLR 2025 Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation ICCV 2025 Is linguistically-motivated data augmentation worth it? ACL 2025 Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement ACL 2025 Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection AAAI 2025 Is Lunch Free Yet? Overcoming the Cold-Start Problem in Supervised Content Scoring using Zero-Shot LLM-Generated Training Data ACL 2025 Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy ICCV 2025 Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator COLING 2025 Is Parameter Collision Hindering Continual Learning in LLMs? COLING 2025 I Speak for the Árboles: Developing a Dependency Treebank for Spanish L2 and Heritage Speakers ACL 2025 Is Poisoning a Real Threat to DPO? Maybe More So Than You Think AAAI 2025 Is Prior-Free Black-Box Non-Stationary Reinforcement Learning Feasible? AISTATS 2025 Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding EMNLP 2025 Is Visual in-Context Learning for Compositional Medical Tasks within Reach? ICCV 2025 Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness NAACL 2025 ITALIC: An Italian Culture-Aware Natural Language Benchmark NAACL 2025 iTBLS: A Dataset of Interactive Conversations Over Tabular Information ACL 2025 It Depends: Resolving Referential Ambiguity in Minimal Contexts with Commonsense Knowledge EMNLP 2025 Iterated Belief Change as Learning IJCAI 2025 Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision ICLR 2025 Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning ICLR 2025 Iterative Repair with Weak Verifiers for Few-shot Transfer in KBQA with Unanswerability ACL 2025 Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning AAAI 2025 Iterative Sparse Attention for Long-sequence Recommendation AAAI 2025 IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation ICLR 2025