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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Tight Rates for Bandit Control Beyond Quadratics NeurIPS 2024 TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding CVPR 2024 Time-Constrained Robust MDPs NeurIPS 2024 Time-Efficient Reinforcement Learning with Stochastic Stateful Policies ICLR 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 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 Time Sensitive Knowledge Editing through Efficient Finetuning ACL 2024 TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning AAAI 2024 Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models NeurIPS 2024 Time-Varying Propensity Score to Bridge the Gap between the Past and Present ICLR 2024 TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training AAAI 2024 TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging EMNLP 2024 TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings EMNLP 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 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 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 To Ask LLMs about English Grammaticality, Prompt Them in a Different Language EMNLP 2024 To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation ACL 2024 To Err Is Human, but Llamas Can Learn It Too EMNLP 2024