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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)

Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference AAAI 2025 Extracting Software Mentions and Relations using Transformers and LLM-Generated Synthetic Data at SOMD 2025 ACL 2025 Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback COLING 2025 Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass EMNLP 2025 EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics AAAI 2025 EyeLLM: Using Lookback Fixations to Enhance Human-LLM Alignment for Text Completion ACL 2025 EZSR: Event-based Zero-Shot Recognition CVPR 2025 F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching ACL 2025 FaceShield: Defending Facial Image against Deepfake Threats ICCV 2025 FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles AAAI 2025 Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning EMNLP 2025 Facilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning Interspeech 2025 Factorized RVQ-GAN For Disentangled Speech Tokenization Interspeech 2025 Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain EMNLP 2025 FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation CVPR 2025 FADE: Why Bad Descriptions Happen to Good Features ACL 2025 Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation ACL 2025 Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025 FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Interspeech 2025 Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS Interspeech 2025 Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs ACL 2025 Fair Text Classification via Transferable Representations JMLR 2025 FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution CVPR 2025 FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding CVPR 2025 Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation EMNLP 2025