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)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models CVPR 2025 DKC: Differentiated Knowledge Consolidation for Cloth-Hybrid Lifelong Person Re-identification CVPR 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025 DKITNLP at ArchEHR-QA 2025: A Retrieval Augmented LLM Pipeline for Evidence-Based Patient Question Answering ACL 2025 DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis AAAI 2025 D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching AAAI 2025 DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification WACV 2025 DMRN: A Dynamical Multi-Order Response Network for the Robust Lung Airway Segmentation WACV 2025 DnDScore: Decontextualization and Decomposition for Factuality Verification in Long-Form Text Generation EMNLP 2025 Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents EMNLP 2025 DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025 DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations ACL 2025 DocIE@XLLM25: UIEPrompter: A Unified Training-Free Framework for universal document-level information extraction via Structured Prompt ACL 2025 DocIE@XLLM25: ZeroSemble - Robust and Efficient Zero-Shot Document Information Extraction with Heterogeneous Large Language Model Ensembles ACL 2025 DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding CVPR 2025 Docopilot: Improving Multimodal Models for Document-Level Understanding CVPR 2025 DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral ACL 2025 DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning WACV 2025 Document Attribution: Examining Citation Relationships using Large Language Models ACL 2025 Document Segmentation Matters for Retrieval-Augmented Generation ACL 2025 Does Chain-of-Thought Reasoning Really Reduce Harmfulness from Jailbreaking? ACL 2025 Does Data Scaling Lead to Visual Compositional Generalization? ICML 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 Does Knowing More Make You Easier to Trick? Adversarial Robustness of Multi-Target Regression AAAI 2025 Does One-shot Give the Best Shot? Mitigating Model Inconsistency in One-shot Federated Learning ICML 2025