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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)

DeMAC: Enhancing Multi-Agent Coordination with Dynamic DAG and Manager-Player Feedback EMNLP 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate ICML 2025 DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning EMNLP 2025 DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent EMNLP 2025 Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success RSS 2025 DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling ACL 2025 DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration CoRL 2025 Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls EMNLP 2025 Demystify Verbosity Compensation Behavior of Large Language Models EMNLP 2025 DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement AAAI 2025 Denoising Diffusion Models are Good General Gaze Feature Learners IJCAI 2025 Denoising Task Difficulty-based Curriculum for Training Diffusion Models ICLR 2025 Denoising with a Joint-Embedding Predictive Architecture ICLR 2025 Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation AAAI 2025 Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings EMNLP 2025 Dense Video Object Captioning from Disjoint Supervision ICLR 2025 Density estimation with LLMs: a geometric investigation of in-context learning trajectories ICLR 2025 DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation CVPR 2025 DependEval: Benchmarking LLMs for Repository Dependency Understanding ACL 2025 Deploying Multi-task Online Server with Large Language Model COLING 2025 Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices EMNLP 2025 Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera CVPR 2025 Depth Any Event Stream: Enhancing Event-based Monocular Depth Estimation via Dense-to-Sparse Distillation ICCV 2025 Depth Any Video with Scalable Synthetic Data ICLR 2025 DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching AAAI 2025