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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)

Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions CVPR 2023 GlobalBench: A Benchmark for Global Progress in Natural Language Processing EMNLP 2023 Global Constraints with Prompting for Zero-Shot Event Argument Classification EACL 2023 Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos AAAI 2023 Global-Local Modeling with Prompt-Based Knowledge Enhancement for Emotion Inference in Conversation EACL 2023 Global-Local Regularization Via Distributional Robustness AISTATS 2023 Global-Local Self-Distillation for Visual Representation Learning WACV 2023 Global Selection of Contrastive Batches via Optimization on Sample Permutations ICML 2023 Glocal Energy-Based Learning for Few-Shot Open-Set Recognition CVPR 2023 Gloss-Free End-to-End Sign Language Translation ACL 2023 GlotLID: Language Identification for Low-Resource Languages EMNLP 2023 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023 G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors CVPR 2023 GMU Systems for the IWSLT 2023 Dialect and Low-resource Speech Translation Tasks ACL 2023 GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels NeurIPS 2023 Goal-Conditioned Imitation Learning using Score-based Diffusion Policies RSS 2023 Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NeurIPS 2023 Goal-Conditioned Q-learning as Knowledge Distillation AAAI 2023 Goal Driven Discovery of Distributional Differences via Language Descriptions NeurIPS 2023 Goal-Driven Explainable Clustering via Language Descriptions EMNLP 2023 Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control CoRL 2023 Going Beyond Nouns With Vision & Language Models Using Synthetic Data ICCV 2023 Going beyond research datasets: Novel intent discovery in the industry setting EACL 2023 Good Helper Is around You: Attention-Driven Masked Image Modeling AAAI 2023 Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages EMNLP 2023