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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)

TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection AAAI 2024 Tag-grounded Visual Instruction Tuning with Retrieval Augmentation EMNLP 2024 Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains ICML 2024 TaiChi: Improving the Robustness of NLP Models by Seeking Common Ground While Reserving Differences COLING 2024 TAIL: A Toolkit for Automatic and Realistic Long-Context Large Language Model Evaluation EMNLP 2024 Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting CVPR 2024 Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation AAAI 2024 TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ICLR 2024 Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NeurIPS 2024 Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024 Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition EMNLP 2024 TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight NeurIPS 2024 Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NeurIPS 2024 Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs NeurIPS 2024 Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting NeurIPS 2024 Taming Self-Training for Open-Vocabulary Object Detection CVPR 2024 Taming the Long Tail in Human Mobility Prediction NeurIPS 2024 TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding CVPR 2024 TAMS: Translation-Assisted Morphological Segmentation ACL 2024 TAN-IBE Participation in the Shared Task: Translation into Low-Resource Languages of Spain EMNLP 2024 TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient AAAI 2024 Targeted Multilingual Adaptation for Low-resource Language Families EMNLP 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning CVPR 2024 Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions NeurIPS 2024 TartuNLP @ SIGTYP 2024 Shared Task: Adapting XLM-RoBERTa for Ancient and Historical Languages EACL 2024