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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)

Exploring Multimodal Relation Extraction of Hierarchical Tabular Data with Multi-task Learning ACL 2025 Exploring Pre-trained models on Ultrasound Modeling for Mice Autism Detection with Uniform Filter Bank and Attentive Scoring Interspeech 2025 Exploring Quality and Diversity in Synthetic Data Generation for Argument Mining EMNLP 2025 Exploring Rationale Learning for Continual Graph Learning AAAI 2025 Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation CVPR 2025 Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment CVPR 2025 Exploring SSL Discrete Speech Features for Zipformer-based Contextual ASR Interspeech 2025 Exploring Task-Level Optimal Prompts for Visual In-Context Learning AAAI 2025 Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning AAAI 2025 Exploring the Better Multimodal Synergy Strategy for Vision-Language Models AAAI 2025 Exploring the Effect of Segmentation and Vocabulary Size on Speech Tokenization for Speech Language Models Interspeech 2025 Exploring the Hidden Capacity of LLMs for One-Step Text Generation EMNLP 2025 Exploring the Impact of Instruction-Tuning on LLM’s Susceptibility to Misinformation ACL 2025 Exploring the Power of Empirical Mode Decomposition for Sensing the Sound of Silence: A Pilot Study on Mice Autism Detection via Ultrasonic Vocalisation Interspeech 2025 Exploring the Relationship Between Samples and Masks for Robust Defect Localization AAAI 2025 Expressive Power of Temporal Message Passing AAAI 2025 Extended Abstract: Probing-Guided Parameter-Efficient Fine-Tuning for Balancing Linguistic Adaptation and Safety in LLM-based Social Influence Systems ACL 2025 Extended High-frequency Cues to Phoneme Recognition: Insights from ASR Interspeech 2025 Extended Loss: Incorporating Long Context into Training Models when using Short Audio Frames Interspeech 2025 Extending Automatic Machine Translation Evaluation to Book-Length Documents EMNLP 2025 Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens ICCV 2025 External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding IJCAI 2025 External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection AAAI 2025 Extract Free Dense Misalignment from CLIP AAAI 2025 Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation COLING 2025