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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)

DoGA: Enhancing Grounded Object Detection via Grouped Pre-Training with Attributes AAAI 2025 DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval AAAI 2025 Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels ICCV 2025 Do LLMs Encode Frame Semantics? Evidence from Frame Identification EMNLP 2025 DOLPHIN: A Programmable Framework for Scalable Neurosymbolic Learning ICML 2025 Domain Adaptation and Entanglement: an Optimal Transport Perspective AISTATS 2025 Domain Adaptation of Foundation LLMs for e-Commerce ACL 2025 Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems ACML 2025 Domain Adaptive Unfolded Graph Neural Networks AAAI 2025 Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation AAAI 2025 DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization AAAI 2025 DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning ACL 2025 Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts ACL 2025 DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms EMNLP 2025 Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning ACL 2025 Doppelgangers and Adversarial Vulnerability CVPR 2025 Doppler-Aware LiDAR-RADAR Fusion for Weather-Robust 3D Detection ICCV 2025 DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles CVPR 2025 Do RAG Systems Really Suffer From Positional Bias? EMNLP 2025 Do Regularization Methods for Shortcut Mitigation Work As Intended? AISTATS 2025 Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination ACL 2025 Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion ACL 2025 Double-Filter: Efficient Fine-tuning of Pre-trained Vision-Language Models via Patch&Layer Filtering ICML 2025 Do Vision-Language Models Really Understand Visual Language? ICML 2025 Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction ACL 2025