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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)

Training Long-Context LLMs Efficiently via Chunk-wise Optimization ACL 2025 Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis ICLR 2025 Training Strategies for Efficient Embodied Reasoning CoRL 2025 Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks AAAI 2025 Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction EMNLP 2025 Trajectory-Class-Aware Multi-Agent Reinforcement Learning ICLR 2025 Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning CVPR 2025 Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation Interspeech 2025 Transferable Adversarial Face Attack with Text Controlled Attribute AAAI 2025 Transfer Learning for High-dimensional Reduced Rank Time Series Models AISTATS 2025 Transfer Learning for Nonparametric Contextual Dynamic Pricing ICML 2025 Transfer learning in latent contextual bandits with covariate shift through causal transportability CLeaR 2025 Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection AAAI 2025 Transferring Textual Preferences to Vision-Language Understanding through Model Merging ACL 2025 Transformed Low-rank Adaptation via Tensor Decomposition and Its Applications to Text-to-image Models ICCV 2025 Transformer Architectures for Vocabulary Test Item Difficulty Prediction ACL 2025 Transforming adaptation tracking: benchmarking Transformer-based NLP approaches to retrieve adaptation-relevant information from climate policy text ACL 2025 Transforming Causal LLM into MLM Encoder for Detecting Social Media Manipulation in Telegram ACL 2025 TranssionMT’s Submission to the Indic MT Shared Task in WMT 2025 EMNLP 2025 Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model IJCAI 2025 TreeRAG: Unleashing the Power of Hierarchical Storage for Enhanced Knowledge Retrieval in Long Documents ACL 2025 TreeSearch at SemEval-2025 Task 8: Monte Carlo Tree Search for Question-Answering over Tabular Data SemEval 2025 T-REG: Preference Optimization with Token-Level Reward Regularization ACL 2025 Triad: Empowering LMM-based Anomaly Detection with Expert-guided Region-of-Interest Tokenizer and Manufacturing Process ICCV 2025 TriEmbed: Bridge the Gap between Text and Token Indices with Embedding Reparameterization ACL 2025