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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)

Tri-Ergon: Fine-Grained Video-to-Audio Generation with Multi-Modal Conditions and LUFS Control AAAI 2025 Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning CVPR 2025 TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning AAAI 2025 TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning ICCV 2025 TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection EMNLP 2025 TS-CLIP: Time Series Understanding by CLIP EMNLP 2025 TST: A Schema-Based Top-Down and Dynamic-Aware Agent of Text-to-Table Tasks ACL 2025 TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization AAAI 2025 TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning AAAI 2025 TTPA: Token-level Tool-use Preference Alignment Training Framework with Fine-grained Evaluation EMNLP 2025 Tuebingen at SemEval-2025 Task 10: Class Weighting, External Knowledge and Data Augmentation in BERT Models SemEval 2025 Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach AAAI 2025 Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks CVPR 2025 Turbocharging Web Automation: The Impact of Compressed History States ACL 2025 TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting CVPR 2025 TutorMind at BEA 2025 Shared Task: Leveraging Fine-Tuned LLMs and Data Augmentation for Mistake Identification ACL 2025 TVC-MusicGen: Time-Varying Structure Control for Background Music Generation via Self-Supervised Training Interspeech 2025 Twofold Debiasing Enhances Fine-Grained Learning with Coarse Labels AAAI 2025 Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement ACL 2025 Two Outliers at BEA 2025 Shared Task: Tutor Identity Classification using DiReC, a Two-Stage Disentangled Contrastive Representation ACL 2025 Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor AAAI 2025 Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization JMLR 2025 Typed-RAG: Type-Aware Decomposition of Non-Factoid Questions for Retrieval-Augmented Generation ACL 2025 Type Information-Assisted Self-Supervised Knowledge Graph Denoising AISTATS 2025 Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models EMNLP 2025