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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)

FOCUS: Towards Universal Foreground Segmentation AAAI 2025 Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows CVPR 2025 Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment EMNLP 2025 FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions NAACL 2025 FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process ICCV 2025 FoodTaxo: Generating Food Taxonomies with Large Language Models ACL 2025 Foot-In-The-Door: A Multi-turn Jailbreak for LLMs EMNLP 2025 Forecasting Competitions with Correlated Events AAAI 2025 Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs COLING 2025 Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation AAAI 2025 Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models CVPR 2025 Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images CVPR 2025 ForestCast: Open-Ended Event Forecasting with Semantic News Forest EMNLP 2025 Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models NAACL 2025 FOR: Finetuning for Object Level Open Vocabulary Image Retrieval WACV 2025 ForgDiffuser: General Image Forgery Localization with Diffusion Models IJCAI 2025 FORGETTER with forgetful hyperparameters and recurring sleeps can continue to learn beyond normal overtfitting limits EMNLP 2025 Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning EMNLP 2025 Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon EMNLP 2025 Forgotten Polygons: Multimodal Large Language Models are Shape-Blind ACL 2025 Forking Paths in Neural Text Generation ICLR 2025 FormalAlign: Automated Alignment Evaluation for Autoformalization ICLR 2025 Formally Verified Approximate Policy Iteration AAAI 2025 Formal Quality Measures for Predictors in Markov Decision Processes AAAI 2025 Format Inertia: A Failure Mechanism of LLMs in Medical Pre-Consultation EMNLP 2025