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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)

YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification SemEval 2025 YNUzwt at SemEval-2025 Task 10: Tree-guided Stagewise Classifier for Entity Framing and Narrative Classification SemEval 2025 Yo'Chameleon: Personalized Vision and Language Generation CVPR 2025 YodiV3: NLP for Togolese Languages with Eyaa-Tom Dataset and the Lom Metric ACL 2025 YOLO-Count: Differentiable Object Counting for Text-to-Image Generation ICCV 2025 You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data ICCV 2025 Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector AISTATS 2025 Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors EMNLP 2025 Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding CVPR 2025 Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025 You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale CVPR 2025 Z1: Efficient Test-time Scaling with Code EMNLP 2025 ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025 Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion CVPR 2025 ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition AAAI 2025 Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency EMNLP 2025 Zero_Shot at SemEval-2025 Task 11: Fine-Tuning Deep Learning and Transformer-based Models for Emotion Detection in Multi-label Classification, Intensity Estimation, and Cross-lingual Adaptation SemEval 2025 Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling CVPR 2025 Zero-shot capability of 2D SAM-family models for bone segmentation in CT scans MIDL 2025 Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025 Zero-Shot Compositional Video Learning with Coding Rate Reduction ICCV 2025 Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation EMNLP 2025 Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMs EMNLP 2025 Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior AAAI 2025 Zero-Shot Head Swapping in Real-World Scenarios CVPR 2025