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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)

Contrastive Viewpoint-Aware Shape Learning for Long-Term Person Re-Identification WACV 2024 Controllable Citation Sentence Generation with Language Models ACL 2024 Controllable Sentence Simplification in Swedish Using Control Prefixes and Mined Paraphrases COLING 2024 Controllable Text-to-Image Synthesis for Multi-Modality MR Images WACV 2024 Controlled maximal variability along with reliable performance in recurrent neural networks NeurIPS 2024 Controller-Guided Partial Label Consistency Regularization with Unlabeled Data AAAI 2024 Controlling Character Motions Without Observable Driving Source WACV 2024 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024 ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024 ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models NeurIPS 2024 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024 Convergence of No-Swap-Regret Dynamics in Self-Play NeurIPS 2024 Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024 Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm AAAI 2024 Convolutional Masked Image Modeling for Dense Prediction Tasks on Pathology Images WACV 2024 Convolutional Prompting meets Language Models for Continual Learning CVPR 2024 Convolution-Augmented Parameter-Efficient Fine-Tuning for Speech Recognition Interspeech 2024 Co-occurrence is not Factual Association in Language Models NeurIPS 2024 Cooperative Knowledge Distillation: A Learner Agnostic Approach AAAI 2024 Cooperative Meta-Learning with Gradient Augmentation UAI 2024 Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management (Student Abstract) AAAI 2024 CoPL: Contextual Prompt Learning for Vision-Language Understanding AAAI 2024 CoralSCOP: Segment any COral Image on this Planet CVPR 2024 CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NeurIPS 2024 Coreference Graph Guidance for Mind-Map Generation AAAI 2024