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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)

Analysis of Phonetic Level Similarities Across Languages in Emotional Speech Interspeech 2025 Analysis of Semantic and Acoustic Token Variability Across Speech, Music, and Audio Domains Interspeech 2025 Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling AAAI 2025 Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models Interspeech 2025 Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025 Analyzing the Importance of Blank for CTC-Based Knowledge Distillation Interspeech 2025 Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns ACL 2025 Analyzing the Role of Permutation Invariance in Linear Mode Connectivity AISTATS 2025 Analyzing the Sensitivity of Vision Language Models in Visual Question Answering ACL 2025 Anatomy-Guided Surface Diffusion Model for Alzheimer’s Disease Normative Modeling MIDL 2025 An Attention-Based Neural Translation System for English to Bodo EMNLP 2025 An Augmentation-Aware Theory for Self-Supervised Contrastive Learning ICML 2025 AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion AAAI 2025 AndroidGen: Building an Android Language Agent under Data Scarcity ACL 2025 AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents ACL 2025 An Effective Anomalous Sound Detection Method Based on Global and Local Attribute Mining Interspeech 2025 An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning ACL 2025 An Empirical Study of Autoregressive Pre-training from Videos ICCV 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025 An Empirical Study of Iterative Refinements for Non-autoregressive Translation ACL 2025 An Empirical Study of Many-to-Many Summarization with Large Language Models ACL 2025 An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation EMNLP 2025 An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency AAAI 2025 A New Adversarial Perspective for LiDAR-based 3D Object Detection AAAI 2025 An Exploratory Framework for LLM-assisted Human Annotation of Speech Datasets Interspeech 2025