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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)

Pre-training General User Representation with Multi-type APP Behaviors IJCAI 2024 Pretraining Language Models Using Translationese EMNLP 2024 Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains ICML 2024 Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays MIDL 2024 Pre-training Vision Models with Mandelbulb Variations CVPR 2024 Pre-training with Random Orthogonal Projection Image Modeling ICLR 2024 Prevalent Frequency of Emotional and Physical Symptoms in Social Anxiety using Zero Shot Classification: An Observational Study EACL 2024 Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks AISTATS 2024 Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization NeurIPS 2024 Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization NeurIPS 2024 PRewrite: Prompt Rewriting with Reinforcement Learning ACL 2024 PrExMe! Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation EMNLP 2024 Pricing and Competition for Generative AI NeurIPS 2024 Principal-Agent Reward Shaping in MDPs AAAI 2024 Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024 Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning ICLR 2024 Prior Knowledge-Guided Adversarial Training ACL 2024 Prior Relational Schema Assists Effective Contrastive Learning for Inductive Knowledge Graph Completion COLING 2024 PRISM: A New Lens for Improved Color Understanding EMNLP 2024 Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NeurIPS 2024 Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients AISTATS 2024 PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NeurIPS 2024 Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning AISTATS 2024 Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation ICLR 2024 Private Learning with Public Features AISTATS 2024