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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)

Sequential Compositional Generalization in Multimodal Models NAACL 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Sequential Editing for Lifelong Training of Speech Recognition Models Interspeech 2024 Sequential Harmful Shift Detection Without Labels NeurIPS 2024 Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024 Sequential LLM Framework for Fashion Recommendation EMNLP 2024 Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood NeurIPS 2024 SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition Interspeech 2024 Serialized Output Training by Learned Dominance Interspeech 2024 SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models NAACL 2024 SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NeurIPS 2024 Set-based Neural Network Encoding Without Weight Tying NeurIPS 2024 SetFit: A Robust Approach for Offensive Content Detection in Tamil-English Code-Mixed Conversations Using Sentence Transfer Fine-tuning EACL 2024 Set Learning for Accurate and Calibrated Models ICLR 2024 SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models NeurIPS 2024 Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing AAAI 2024 Several Stories about High-Multiplicity EFx Allocation (Student Abstract) AAAI 2024 SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation AAAI 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations CVPR 2024 SFOD: Spiking Fusion Object Detector CVPR 2024 SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation NeurIPS 2024 SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully EMNLP 2024 Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models NeurIPS 2024 ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction COLING 2024