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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)

Variance-Aware Linear UCB with Deep Representation for Neural Contextual Bandits AISTATS 2025 Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models CVPR 2025 Variational Rectified Flow Matching ICML 2025 Variational Schrödinger Momentum Diffusion AISTATS 2025 Variation Due to Regularization Tractably Recovers Bayesian Deep Learning Uncertainty AISTATS 2025 VC4VG: Optimizing Video Captions for Text-to-Video Generation EMNLP 2025 VCA: Video Curious Agent for Long Video Understanding ICCV 2025 VCD: A Dataset for Visual Commonsense Discovery in Images ACL 2025 v-CLR: View-Consistent Learning for Open-World Instance Segmentation CVPR 2025 VCRMNER: Visual Cue Refinement in Multimodal NER using CLIP Prompts COLING 2025 VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents CVPR 2025 Vector Contrastive Learning For Pixel-Wise Pretraining In Medical Vision ICCV 2025 VehicleMAE: View-asymmetry Mutual Learning for Vehicle Re-identification Pre-training via Masked AutoEncoders ICCV 2025 VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions EMNLP 2025 VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions EMNLP 2025 VENUS: A VLLM-driven Video Content Discovery System for Real Application Scenarios EMNLP 2025 VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models CVPR 2025 VerbaNexAI at SemEval-2025 Task 2: Enhancing Entity-Aware Translation with Wikidata-Enriched MarianMT SemEval 2025 VerbaNexAI at SemEval-2025 Task 3: Fact Retrieval with Google Snippets for LLM Context Filtering to identify Hallucinations SemEval 2025 VeReaFine: Iterative Verification Reasoning Refinement RAG for Hallucination-Resistant on Open-Ended Clinical QA ACL 2025 VerIF: Verification Engineering for Reinforcement Learning in Instruction Following EMNLP 2025 VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM EMNLP 2025 VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data EMNLP 2025 VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification AAAI 2025 VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis AAAI 2025