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Learning Types

56,254 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 (1,984) 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)

Information Extraction from Legal Wills: How Well Does GPT-4 Do? EMNLP 2023 Information-Theoretic Analysis of Unsupervised Domain Adaptation ICLR 2023 Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments AAAI 2023 Information theoretic clustering via divergence maximization among clusters UAI 2023 Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML 2023 infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information ACL 2023 Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning ICML 2023 INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models EMNLP 2023 Ingredient-Oriented Multi-Degradation Learning for Image Restoration CVPR 2023 Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation MIDL 2023 InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT EMNLP 2023 Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NeurIPS 2023 Injecting structural hints: Using language models to study inductive biases in language learning EMNLP 2023 Innovating Real Fisheye Image Correction with Dual Diffusion Architecture ICCV 2023 In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation ICML 2023 In- or out-of-distribution detection via dual divergence estimation UAI 2023 InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning ICLR 2023 Input uncertainty propagation through trained neural networks ICML 2023 In-sample Actor Critic for Offline Reinforcement Learning ICLR 2023 In-sample Curriculum Learning by Sequence Completion for Natural Language Generation ACL 2023 In Search for a Generalizable Method for Source Free Domain Adaptation ICML 2023 InsightNet : Structured Insight Mining from Customer Feedback EMNLP 2023 Insights into Ordinal Embedding Algorithms: A Systematic Evaluation JMLR 2023 InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning RSS 2023 Instance and Category Supervision are Alternate Learners for Continual Learning ICCV 2023