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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)

Excluding the Impossible for Open Vocabulary Semantic Segmentation AAAI 2025 ExcluIR: Exclusionary Neural Information Retrieval AAAI 2025 ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language AAAI 2025 EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation ACL 2025 Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion ACL 2025 Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025 ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance EMNLP 2025 Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent ACL 2025 Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models EMNLP 2025 Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025 Explainable Neural Networks with Guarantee: A Sparse Estimation Approach AAAI 2025 Explainable Saliency: Articulating Reasoning with Contextual Prioritization CVPR 2025 EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025 Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification CVPR 2025 Explaining the role of Intrinsic Dimensionality in Adversarial Training ICML 2025 Explanation Bottleneck Models AAAI 2025 Explicit and Implicit Data Augmentation for Social Event Detection ACL 2025 Explicit Learning and the LLM in Machine Translation EMNLP 2025 Explicitly Guided Difficulty-Controllable Visual Question Generation AAAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025 Exploiting Contextual Knowledge in LLMs through 𝒱-usable Information based Layer Enhancement ACL 2025 Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction AAAI 2025 Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training AAAI 2025 Exploiting Prompt-induced Confidence for Black-Box Attacks on LLMs EMNLP 2025 Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph IJCAI 2025