Skip to content
conftrace_

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)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

CoinMath: Harnessing the Power of Coding Instruction for Math LLM ACL 2025 Coling-UniA at SciVQA 2025: Few-Shot Example Retrieval and Confidence-Informed Ensembling for Multimodal Large Language Models ACL 2025 Collaborative Semantic Consistency Alignment for Blended-Target Domain Adaptation AAAI 2025 CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis NAACL 2025 Collage: Decomposable Rapid Prototyping for Co-Designed Information Extraction on Scientific PDFs ACL 2025 Collapsed Language Models Promote Fairness ICLR 2025 Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence ACL 2025 Collapse-Proof Non-Contrastive Self-Supervised Learning ICML 2025 CollEX – A Multimodal Agentic RAG System Enabling Interactive Exploration of Scientific Collections ACL 2025 CoLLM: A Large Language Model for Composed Image Retrieval CVPR 2025 Color Matching Using Hypernetwork-Based Kolmogorov-Arnold Networks ICCV 2025 CoMapGS: Covisibility Map-based Gaussian Splatting for Sparse Novel View Synthesis CVPR 2025 Combating Semantic Contamination in Learning with Label Noise AAAI 2025 Combining Automated and Manual Data for Effective Downstream Fine-Tuning of Transformers for Low-Resource Language Applications ACL 2025 Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation through Strong-Weak Guidance WACV 2025 CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation CVPR 2025 ComicScene154: A Scene Dataset for Comic Analysis EMNLP 2025 CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation CVPR 2025 COMM: Concentrated Margin Maximization for Robust Document-Level Relation Extraction AAAI 2025 CoMMIT: Coordinated Multimodal Instruction Tuning EMNLP 2025 Common Sense Bias Modeling for Classification Tasks AAAI 2025 Commonsense Reasoning in Arab Culture ACL 2025 Comparative Knowledge Distillation WACV 2025 Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization ACL 2025 Comparing Methods for Multi-Label Classification of Manipulation Techniques in Ukrainian Telegram Content ACL 2025