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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)

Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation AAAI 2024 Low-Distortion Clustering with Ordinal and Limited Cardinal Information AAAI 2024 Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024 Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning CLeaR 2024 Low-rank Matrix Bandits with Heavy-tailed Rewards UAI 2024 Low-rank MDPs with Continuous Action Spaces AISTATS 2024 Low-Rank Similarity Mining for Multimodal Dataset Distillation ICML 2024 Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning CVPR 2024 Low Resource ICD Coding of Hospital Discharge Summaries ACL 2024 Low-Resource Machine Translation through the Lens of Personalized Federated Learning EMNLP 2024 Low-Resource Vision Challenges for Foundation Models CVPR 2024 LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024 LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks ICLR 2024 LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024 LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning IJCAI 2024 LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification AAAI 2024 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024 LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect NeurIPS 2024 L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer NeurIPS 2024 LucidAction: A Hierarchical and Multi-model Dataset for Comprehensive Action Quality Assessment NeurIPS 2024 LumberChunker: Long-Form Narrative Document Segmentation EMNLP 2024 Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models NeurIPS 2024 LUQ: Long-text Uncertainty Quantification for LLMs EMNLP 2024 LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images CVPR 2024 M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation Interspeech 2024