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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)

Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025 Out-of-distribution robustness for multivariate analysis via causal regularisation AISTATS 2025 Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning Interspeech 2025 Overcoming Domain Knowledge Forgetting in Continual Test-Time Adaptation via Siamese Networks ACML 2025 Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach AAAI 2025 Overcoming Shortcut Problem in VLM for Robust Out-of-Distribution Detection CVPR 2025 Overlap-Adaptive Hybrid Speaker Diarization and ASR-Aware Observation Addition for MISP 2025 Challenge Interspeech 2025 Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates ACL 2025 Overview of the BioLaySumm 2025 Shared Task on Lay Summarization of Biomedical Research Articles and Radiology Reports ACL 2025 Overview of the SciHal25 Shared Task on Hallucination Detection for Scientific Content ACL 2025 OVG-HQ: Online Video Grounding with Hybrid-modal Queries ICCV 2025 OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature EMNLP 2025 OW-OVD: Unified Open World and Open Vocabulary Object Detection CVPR 2025 OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary Interspeech 2025 OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning Interspeech 2025 OZSpeech: One-step Zero-shot Speech Synthesis with Learned-Prior-Conditioned Flow Matching ACL 2025 P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025 P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts ACL 2025 PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 PABBO: Preferential Amortized Black-Box Optimization ICLR 2025 Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning ACL 2025 PAEFF: Precise Alignment and Enhanced Gated Feature Fusion for Face-Voice Association Interspeech 2025 PAFT: Prompt-Agnostic Fine-Tuning EMNLP 2025 Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation EMNLP 2025 PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening AAAI 2025