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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)

A Scalable Framework for Legal Text Understanding in Regulatory and Financial Contexts. COLING 2025 ASCENT: Annotation-free Self-supervised Contrastive Embeddings for 3D Neuron Tracking in Fluorescence Microscopy ICCV 2025 ASDA: Audio Spectrogram Differential Attention Mechanism for Self-Supervised Representation Learning Interspeech 2025 AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds AAAI 2025 A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging CVPR 2025 A Self-Distillation Recipe for Neural Machine Translation ACL 2025 A Self-Training Approach for Whisper to Enhance Long Dysarthric Speech Recognition Interspeech 2025 A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models ACL 2025 A Semantic Framework for Neurosymbolic Computation (Abstract Reprint) IJCAI 2025 A Sequential Multi-Stage Approach for Code Vulnerability Detection via Confidence- and Collaboration-based Decision Making EMNLP 2025 A Shared Low-Rank Adaptation Approach to Personalized RLHF AISTATS 2025 A Siamese Network-Based Framework for Voice Mimicry Proficiency Assessment Using X-Vector Embeddings Interspeech 2025 A Similarity Paradigm Through Textual Regularization Without Forgetting AAAI 2025 A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025 A Simple-Yet-Effective Data Augmentation Method for Speaker Identification in Novels Interspeech 2025 A Simple yet Effective Hypergraph Clustering Network IJCAI 2025 A-SMiLE: Affective Sparse Mixture-of-Experts Adapter with Multi-Task Learning for Spoken Dialogue Models Interspeech 2025 Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction EMNLP 2025 ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning ACL 2025 As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection AAAI 2025 ASR Confidence Estimation using True Class Lexical Similarity Score Interspeech 2025 Assessing and Learning Alignment of Unimodal Vision and Language Models CVPR 2025 Assessing and Mitigating Medical Knowledge Drift and Conflicts in Large Language Models EMNLP 2025 Assessing French Readability for Adults with Low Literacy: A Global and Local Perspective EMNLP 2025 Assessing the Performance and Efficiency of Mamba ASR in Low-Resource Scenarios Interspeech 2025