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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)

OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation WACV 2024 OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport ICML 2024 OTTER: Effortless Label Distribution Adaptation of Zero-shot Models NeurIPS 2024 OUCopula: Bi-Channel Multi-Label Copula-Enhanced Adapter-Based CNN for Myopia Screening Based on OU-UWF Images IJCAI 2024 Outcome-Constrained Large Language Models for Countering Hate Speech EMNLP 2024 OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples AAAI 2024 Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport NeurIPS 2024 Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness ICLR 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024 Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024 Out-of-Distribution Detection with a Single Unconditional Diffusion Model NeurIPS 2024 Out-Of-Distribution Detection with Diversification (Provably) NeurIPS 2024 Out-Of-Domain Unlabeled Data Improves Generalization ICLR 2024 Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation AAAI 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System ACL 2024 Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning WACV 2024 Overcoming Common Flaws in the Evaluation of Selective Classification Systems NeurIPS 2024 Overcoming Early Saturation on Low-Resource Languages in Multilingual Dependency Parsing COLING 2024 Overcoming Generic Knowledge Loss with Selective Parameter Update CVPR 2024 Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NeurIPS 2024 Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models NAACL 2024 Oversampling, Augmentation and Curriculum Learning for Speaking Assessment with Limited Training Data Interspeech 2024 Overview of Shared Task on Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes EACL 2024 Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese ACL 2024