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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)

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications AAAI 2025 Through the Valley: Path to Effective Long CoT Training for Small Language Models EMNLP 2025 TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining ACL 2025 TIDES: Technical Information Discovery and Extraction System EMNLP 2025 TIDE: Training Locally Interpretable Domain Generalization Models Enables Test-time Correction CVPR 2025 TimeBooth: Disentangled Facial Invariant Representation for Diverse and Personalized Face Aging ICCV 2025 TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis AAAI 2025 TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment AAAI 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 Time-series attribution maps with regularized contrastive learning AISTATS 2025 Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time ICML 2025 Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting ICML 2025 TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation CVPR 2025 TinySAM: Pushing the Envelope for Efficient Segment Anything Model AAAI 2025 TinyScientist: An Interactive, Extensible, and Controllable Framework for Building Research Agents EMNLP 2025 TIPS: Text-Image Pretraining with Spatial awareness ICLR 2025 TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization ACL 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 T-MAD: Target-driven Multimodal Alignment for Stance Detection EMNLP 2025 TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings AAAI 2025 TOBUGraph: Knowledge Graph-Based Retrieval for Enhanced LLM Performance Beyond RAG EMNLP 2025 To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization ACL 2025 ToDi: Token-wise Distillation via Fine-Grained Divergence Control EMNLP 2025 TokAlign: Efficient Vocabulary Adaptation via Token Alignment ACL 2025 TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation CVPR 2025