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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)

No Need for Explanations: LLMs can implicitly learn from mistakes in-context EMNLP 2025 Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025 Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders CVPR 2025 Nonparametric Distributional Regression via Quantile Regression AISTATS 2025 Non-Standard Accent TTS Support via Large Multi-Accent Frontend Pronunciation Knowledge Transfer Interspeech 2025 Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics ICML 2025 No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views ICCV 2025 Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution ICCV 2025 Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance EMNLP 2025 Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering ACL 2025 Not All Wrong is Bad: Using Adversarial Examples for Unlearning ICML 2025 NOTA: Multimodal Music Notation Understanding for Visual Large Language Model NAACL 2025 Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models CVPR 2025 Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning AAAI 2025 NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning EMNLP 2025 NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism UAI 2025 NTA at SemEval-2025 Task 11: Enhanced Multilingual Textual Multi-label Emotion Detection via Integrated Augmentation Learning SemEval 2025 NTClick: Achieving Precise Interactive Segmentation With Noise-tolerant Clicks CVPR 2025 NTTSU at WMT2025 General Translation Task EMNLP 2025 NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping ICCV 2025 Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection CVPR 2025 Number Theoretic Accelerated Learning of Physics-Informed Neural Networks AAAI 2025 NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors AAAI 2025 NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts ACL 2025 NUST Titans at SemEval-2025 Task 11: AfroEmo: Multilingual Emotion Detection with Adaptive Afro-XLM-R SemEval 2025