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)

Understanding Multi-Task Activities from Single-Task Videos CVPR 2025 Understanding Personal Concept in Open-Vocabulary Semantic Segmentation ICCV 2025 Understanding Reference Policies in Direct Preference Optimization NAACL 2025 Understanding Subword Compositionality of Large Language Models EMNLP 2025 Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters ICML 2025 Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis MIDL 2025 Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain ACL 2025 Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization AISTATS 2025 Understanding the Repeat Curse in Large Language Models from a Feature Perspective ACL 2025 Understanding Verbatim Memorization in LLMs Through Circuit Discovery ACL 2025 Understand the Implication: Learning to Think for Pragmatic Understanding ACL 2025 Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning EMNLP 2025 UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis ACL 2025 UNIBUC-SD at ArchEHR-QA 2025: Prompting Our Way to Clinical QA with Multi-Model Ensembling ACL 2025 UniCodec: Unified Audio Codec with Single Domain-Adaptive Codebook ACL 2025 UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations ACL 2025 UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis AAAI 2025 UniDxMD: Towards Unified Representation for Cross-Modal Unsupervised Domain Adaptation in 3D Semantic Segmentation ICCV 2025 UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks EMNLP 2025 Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision AAAI 2025 Unified Graph Neural Networks Pre-training for Multi-domain Graphs AAAI 2025 Unified Medical Lesion Segmentation via Self-referring Indicator CVPR 2025 Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation Interspeech 2025 Unified Molecule-Text Language Model with Discrete Token Representation IJCAI 2025 Unified Multimodal Understanding via Byte-Pair Visual Encoding ICCV 2025