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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)

Generalized test utilities for long-tail performance in extreme multi-label classification NeurIPS 2023 Generalizing Dataset Distillation via Deep Generative Prior CVPR 2023 Generalizing Event-Based Motion Deblurring in Real-World Scenarios ICCV 2023 Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features EMNLP 2023 Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems NeurIPS 2023 Generalizing Math Word Problem Solvers via Solution Diversification AAAI 2023 Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation AAAI 2023 Generalizing Nonlinear ICA Beyond Structural Sparsity NeurIPS 2023 Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs IJCAI 2023 Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening MIDL 2023 General-purpose Adversarial Training for Enhanced Automatic Speech Recognition Model Generalization Interspeech 2023 General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation ACL 2023 Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion NeurIPS 2023 Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework AAAI 2023 Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference ACL 2023 Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection CVPR 2023 Generating Instance-level Prompts for Rehearsal-free Continual Learning ICCV 2023 Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training ACL 2023 Generating Realistic Images from In-the-wild Sounds ICCV 2023 Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization ACL 2023 Generating Synthetic Speech from SpokenVocab for Speech Translation EACL 2023 Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization AAAI 2023 Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering CoRL 2023 Generative Action Description Prompts for Skeleton-based Action Recognition ICCV 2023 Generative Adversarial Symmetry Discovery ICML 2023