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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)

LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models ICML 2024 LiDARGrid: Self-supervised 3D Opacity Grid from LiDAR for Scene Forecasting CoRL 2024 LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures ICLR 2024 Lidoma@DravidianLangTech 2024: Identifying Hate Speech in Telugu Code-Mixed: A BERT Multilingual EACL 2024 Lidoma@LT-EDI 2024:Tamil Hate Speech Detection in Migration Discourse EACL 2024 Lifelong Event Detection via Optimal Transport EMNLP 2024 Lifelong Event Detection with Embedding Space Separation and Compaction NAACL 2024 Lifelong Learning MOS Prediction for Synthetic Speech Quality Evaluation Interspeech 2024 Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D CVPR 2024 Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset ICLR 2024 Lightweight Audio Segmentation for Long-form Speech Translation Interspeech 2024 Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models EMNLP 2024 Lightweight reranking for language model generations ACL 2024 Lightweight Zero-shot Text-to-Speech with Mixture of Adapters Interspeech 2024 Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification EACL 2024 Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024 Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds ICLR 2024 LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack AAAI 2024 Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders WACV 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024 Limited Query Graph Connectivity Test AAAI 2024 Limited-Supervised Multi-Label Learning with Dependency Noise AAAI 2024 Limits of Approximating the Median Treatment Effect COLT 2024 Linear bandits with polylogarithmic minimax regret COLT 2024 Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 2024