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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)

Selectively Informative Description can Reduce Undesired Embedding Entanglements in Text-to-Image Personalization CVPR 2024 Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives ICLR 2024 Selective Prompting Tuning for Personalized Conversations with LLMs ACL 2024 Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution CVPR 2024 Self-Alignment with Instruction Backtranslation ICLR 2024 Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations EMNLP 2024 Self-Annotated 3D Geometric Learning for Smeared Points Removal WACV 2024 Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering EMNLP 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NeurIPS 2024 SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning ICLR 2024 Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances NAACL 2024 SelfCodeAlign: Self-Alignment for Code Generation NeurIPS 2024 Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024 Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction ICML 2024 Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences NeurIPS 2024 Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning ACL 2024 Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages EMNLP 2024 Self-Distilled Depth Refinement with Noisy Poisson Fusion NeurIPS 2024 Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors CVPR 2024 Self-Evaluation of Large Language Model based on Glass-box Features EMNLP 2024 Self-Evolving GPT: A Lifelong Autonomous Experiential Learner ACL 2024 Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards EMNLP 2024 Self-generated Replay Memories for Continual Neural Machine Translation NAACL 2024 SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes ECCV 2024 Self-Guided Masked Autoencoder NeurIPS 2024