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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)

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025 CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era ACL 2025 D$^3$epth: Distilling Diffusion Models For Efficient Depth Estimation Through A Two-Stage Approach ACML 2025 D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition. CVPR 2025 D2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition ICCV 2025 D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025 D^3: Scaling Up Deepfake Detection by Learning from Discrepancy CVPR 2025 DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations EMNLP 2025 DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing ICCV 2025 DAFMSVC: One-Shot Singing Voice Conversion with Dual Attention Mechanism and Flow Matching Interspeech 2025 DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data ICCV 2025 DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning ACL 2025 DAM: Dynamic Adapter Merging for Continual Video QA Learning WACV 2025 DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection AAAI 2025 DanceEditor: Towards Iterative Editable Music-driven Dance Generation with Open-Vocabulary Descriptions ICCV 2025 DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion AAAI 2025 DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning AAAI 2025 DART: Distilling Autoregressive Reasoning to Silent Thought EMNLP 2025 DASC-SPT: Towards Self-Supervised Panoramic Semantic Segmentation WACV 2025 DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification AAAI 2025 Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation MIDL 2025 Data Augmentation for Medical Imaging: Counterfactual Simulation of Acquisition Parameters via Conditional Diffusion Model MIDL 2025 Data Augmentation using Speech Synthesis for Speaker-Independent Dysarthria Severity Classification Interspeech 2025 DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection SemEval 2025 Data-Constrained Synthesis of Training Data for De-Identification ACL 2025