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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)

Distributed Differential Privacy in Multi-Armed Bandits ICLR 2023 Distributed Linear Bandits under Communication Constraints ICML 2023 Distributed Nonparametric Regression Imputation for Missing Response Problems with Large-scale Data JMLR 2023 Distributed Personalized Empirical Risk Minimization NeurIPS 2023 Distributed Projection-Free Online Learning for Smooth and Convex Losses AAAI 2023 Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation NeurIPS 2023 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023 Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023 Distributional Meta-Gradient Reinforcement Learning ICLR 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Distribution-Free Statistical Dispersion Control for Societal Applications NeurIPS 2023 Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions COLT 2023 Distribution Shift Matters for Knowledge Distillation with Webly Collected Images ICCV 2023 DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning EMNLP 2023 DisWOT: Student Architecture Search for Distillation WithOut Training CVPR 2023 DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation ACL 2023 DivClust: Controlling Diversity in Deep Clustering CVPR 2023 Divergence-Based Domain Transferability for Zero-Shot Classification EACL 2023 Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement CVPR 2023 Diverse Cotraining Makes Strong Semi-Supervised Segmentor ICCV 2023 Diverse Demonstrations Improve In-context Compositional Generalization ACL 2023 Diverse Feature Mapping and Fusion via Multitask Learning for Multilingual Speech Emotion Recognition Interspeech 2023 Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking ACL 2023 Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation NeurIPS 2023 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement ICLR 2023