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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)

Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation AAAI 2025 Efficient Discovery of Pareto Front for Multi-Objective Reinforcement Learning ICLR 2025 Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax ICLR 2025 Efficient Domain Continual pretraining by Mitigating the Stability Gap ACL 2025 Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025 Efficient Dynamic Graphs Learning with Refined Batch Parallel Training IJCAI 2025 Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets ACL 2025 Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning AISTATS 2025 Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation ICCV 2025 Efficient Graph Bandit Learning with Side-Observations and Switching Constraints AAAI 2025 Efficient Hi-Fi Style Transfer via Statistical Attention and Modulation IJCAI 2025 Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness AAAI 2025 Efficient Imitation under Misspecification ICLR 2025 Efficient Layer-wise LLM Fine-tuning for Revision Intention Prediction EMNLP 2025 Efficiently Identifying Watermarked Segments in Mixed-Source Texts ACL 2025 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs ICLR 2025 Efficiently Parameterized Neural Metriplectic Systems ICLR 2025 Efficiently Selecting Response Generation Strategies for Synthetic Data Construction by Self-Aligned Perplexity EMNLP 2025 Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025 Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark ICLR 2025 EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models ICCV 2025 Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025 Efficient Multi-view Clustering via Reinforcement Contrastive Learning IJCAI 2025 Efficient Nearest Neighbor based Uncertainty Estimation for Natural Language Processing Tasks NAACL 2025 Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data ICLR 2025