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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 Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales NAACL 2024 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models CVPR 2024 Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches CVPR 2024 Exploring Weight Balancing on Long-Tailed Recognition Problem ICLR 2024 Expressive Whole-Body Control for Humanoid Robots RSS 2024 ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction CVPR 2024 Extended Multimodal Hate Speech Event Detection During Russia-Ukraine Crisis - Shared Task at CASE 2024 EACL 2024 Extending Multi-modal Contrastive Representations NeurIPS 2024 Extending Video Masked Autoencoders to 128 frames NeurIPS 2024 Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension CVPR 2024 Extensive-Form Game Solving via Blackwell Approachability on Treeplexes NeurIPS 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NeurIPS 2024 Extracting and Summarizing Evidence of Suicidal Ideation in Social Media Contents Using Large Language Models EACL 2024 Extremely Weakly-supervised Text Classification with Wordsets Mining and Sync-Denoising NAACL 2024 Extreme Miscalibration and the Illusion of Adversarial Robustness ACL 2024 Extreme Point Supervised Instance Segmentation CVPR 2024 Extrinsic Evaluation of Cultural Competence in Large Language Models EMNLP 2024 Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning NeurIPS 2024 Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs CVPR 2024 EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection NeurIPS 2024 EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection ACL 2024 F2RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation EMNLP 2024 Face Identity-Aware Disentanglement in StyleGAN WACV 2024 FaceLift: Semi-supervised 3D Facial Landmark Localization CVPR 2024 Faces that Speak: Jointly Synthesising Talking Face and Speech from Text CVPR 2024