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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)

Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra ACL 2024 Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria JMLR 2024 Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL 2024 Blind Zero-Shot Audio Restoration: A Variational Autoencoder Approach for Denoising and Inpainting Interspeech 2024 BlockBoost: Scalable and Efficient Blocking through Boosting AISTATS 2024 BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data IJCAI 2024 BLU-SynTra: Distinguish Synergies and Trade-offs between Sustainable Development Goals Using Small Language Models COLING 2024 BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024 BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed CVPR 2024 BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining AAAI 2024 BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NeurIPS 2024 Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World ICLR 2024 BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? EMNLP 2024 Boosted Conformal Prediction Intervals NeurIPS 2024 Boosting Adversarial Training via Fisher-Rao Norm-based Regularization CVPR 2024 Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping AAAI 2024 Boosting Adversarial Transferability by Block Shuffle and Rotation CVPR 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NeurIPS 2024 Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024 Boosting Cross-Corpus Speech Emotion Recognition using CycleGAN with Contrastive Learning Interspeech 2024 Boosting Few-Shot Learning via Attentive Feature Regularization AAAI 2024 Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NeurIPS 2024 Boosting Graph Anomaly Detection with Adaptive Message Passing ICLR 2024 Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement CVPR 2024