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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)

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics ICCV 2025 Exploring the Application of 7B LLMs for Named Entity Recognition in Chinese Ancient Texts NAACL 2025 Exploring the Camera Bias of Person Re-identification ICLR 2025 Exploring the Cost-Effectiveness of Perspective Taking in Crowdsourcing Subjective Assessment: A Case Study of Toxicity Detection NAACL 2025 Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective AAAI 2025 Exploring The Forgetting in Adversarial Training: A Novel Method for Enhancing Robustness ICLR 2025 Exploring the Potential of Large Vision-Language Models for Unsupervised Text-Based Person Retrieval AAAI 2025 Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis ACL 2025 Exploring the Relationship Between Samples and Masks for Robust Defect Localization AAAI 2025 Exploring the Stability Gap in Continual Learning: The Role of the Classification Head WACV 2025 Exploring The Visual Feature Space for Multimodal Neural Decoding ICCV 2025 Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning IJCAI 2025 Exploring Transliteration-Based Zero-Shot Transfer for Amharic ASR ACL 2025 Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing AAAI 2025 Exploring View Consistency for Scene-Adaptive Low-Light Light Field Image Enhancement ICCV 2025 Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models CVPR 2025 Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment AISTATS 2025 Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning ACL 2025 Exposure Bracketing Is All You Need For A High-Quality Image ICLR 2025 ExpTalk: Diverse Emotional Expression via Adaptive Disentanglement and Refined Alignment for Speech-Driven 3D Facial Animation IJCAI 2025 Extendable and Iterative Structure Learning Strategy for Bayesian Networks ICLR 2025 Extended Abstract: Probing-Guided Parameter-Efficient Fine-Tuning for Balancing Linguistic Adaptation and Safety in LLM-based Social Influence Systems ACL 2025 Extending Automatic Machine Translation Evaluation to Book-Length Documents EMNLP 2025 Extending Temperature Scaling with Homogenizing Maps JMLR 2025 External Knowledge Injection for CLIP-Based Class-Incremental Learning ICCV 2025