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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)

FlashMix: Fast Map-Free LiDAR Localization via Feature Mixing and Contrastive-Constrained Accelerated Training WACV 2025 FLAVC: Learned Video Compression with Feature Level Attention CVPR 2025 Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs EMNLP 2025 FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models NAACL 2025 Flexible Frame Selection for Efficient Video Reasoning CVPR 2025 Flexi-FSCIL: Adaptive Knowledge Retention for Breaking the Stability-Plasticity Dilemma in Few-Shot Class-Incremental Learning ICCV 2025 FlexUOD: The Answer to Real-world Unsupervised Image Outlier Detection CVPR 2025 FlightGPT: Towards Generalizable and Interpretable UAV Vision-and-Language Navigation with Vision-Language Models EMNLP 2025 FlipAttack: Jailbreak LLMs via Flipping ICML 2025 FLIPHAT: Joint Differential Privacy for High Dimensional Linear Bandits AISTATS 2025 FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation ICCV 2025 FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows EMNLP 2025 Flow Factorization for Efficient Generative Flow Networks AAAI 2025 Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution CVPR 2025 FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture EMNLP 2025 FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation AAAI 2025 fLSA: Learning Semantic Structures in Document Collections Using Foundation Models EMNLP 2025 FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025 FLUE: Streamlined Uncertainty Estimation for Large Language Models AAAI 2025 FNSCC: Fuzzy Neighborhood-Aware Self-Supervised Contrastive Clustering for Short Text EMNLP 2025 FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings ACL 2025 Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points ACL 2025 FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification CVPR 2025 Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation CVPR 2025 Focus On This, Not That! Steering LLMs with Adaptive Feature Specification ICML 2025