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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)

Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework NeurIPS 2024 Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners EMNLP 2024 Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection EMNLP 2024 G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping CVPR 2024 GIM: Learning Generalizable Image Matcher From Internet Videos ICLR 2024 GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning WACV 2024 GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation With Large Domain Gap WACV 2024 Glance To Count: Learning To Rank With Anchors for Weakly-Supervised Crowd Counting WACV 2024 GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models EMNLP 2024 GLBench: A Comprehensive Benchmark for Graph with Large Language Models NeurIPS 2024 GLDL: Graph Label Distribution Learning AAAI 2024 GLID: Pre-training a Generalist Encoder-Decoder Vision Model CVPR 2024 GlitchBench: Can Large Multimodal Models Detect Video Game Glitches? CVPR 2024 Global and Local Hierarchical Prompt Tuning Framework for Multi-level Implicit Discourse Relation Recognition COLING 2024 Global and Local Prompts Cooperation via Optimal Transport for Federated Learning CVPR 2024 Global Learning with Triplet Relations in Abstractive Summarization CoNLL 2024 Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NeurIPS 2024 Global Rewards in Restless Multi-Armed Bandits NeurIPS 2024 Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents EMNLP 2024 GLOBE: A High-quality English Corpus with Global Accents for Zero-shot Speaker Adaptive Text-to-Speech Interspeech 2024 GLOW: Global Layout Aware Attacks on Object Detection CVPR 2024 GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks ICLR 2024 G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection AAAI 2024 GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024 GO4Align: Group Optimization for Multi-Task Alignment NeurIPS 2024