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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)

Time-Constrained Robust MDPs NeurIPS 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 2024 Time is Encoded in the Weights of Finetuned Language Models ACL 2024 Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning ICML 2024 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NeurIPS 2024 Time-Reversal Provides Unsupervised Feedback to LLMs NeurIPS 2024 Timer: Generative Pre-trained Transformers Are Large Time Series Models ICML 2024 TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling ICML 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 Time-Varying Propensity Score to Bridge the Gap between the Past and Present ICLR 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NeurIPS 2024 Timing as an Action: Learning When to Observe and Act AISTATS 2024 TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training AAAI 2024 tinyCLAP: Distilling Constrastive Language-Audio Pretrained Models Interspeech 2024 Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series NeurIPS 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024 TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024 TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization ACL 2024 TL-CL: Task And Language Incremental Continual Learning EMNLP 2024 TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations CoRL 2024 T-MARS: Improving Visual Representations by Circumventing Text Feature Learning ICLR 2024 T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking AAAI 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024