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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)

Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization CVPR 2024 Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments ICLR 2024 Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NeurIPS 2024 REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation WACV 2024 RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection CVPR 2024 realSEUDO for real-time calcium imaging analysis NeurIPS 2024 Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination CVPR 2024 Real-Time Recurrent Learning using Trace Units in Reinforcement Learning NeurIPS 2024 Real-Time Selection Under General Constraints via Predictive Inference NeurIPS 2024 Real-Time Weakly Supervised Video Anomaly Detection WACV 2024 RealVul: Can We Detect Vulnerabilities in Web Applications with LLM? EMNLP 2024 Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network NeurIPS 2024 Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora EMNLP 2024 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024 Reason from Fallacy: Enhancing Large Language Models’ Logical Reasoning through Logical Fallacy Understanding NAACL 2024 Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance ACL 2024 Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs EMNLP 2024 Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths EMNLP 2024 Reasons to Reject? Aligning Language Models with Judgments ACL 2024 Reassess Summary Factual Inconsistency Detection with Large Language Model ACL 2024 Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training NeurIPS 2024 Rebalancing Label Distribution While Eliminating Inherent Waiting Time in Multi Label Active Learning Applied to Transformers COLING 2024 ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use IJCAI 2024 REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning ICLR 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024