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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)

Image Difference Captioning via Adversarial Preference Optimization EMNLP 2025 ImageEval 2025: The First Arabic Image Captioning Shared Task EMNLP 2025 ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization ICCV 2025 Images as Noisy Labels: Unleashing the Potential of the Diffusion Model for Open-Vocabulary Semantic Segmentation ICCV 2025 Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models ACL 2025 Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models CoRL 2025 IMFine: 3D Inpainting via Geometry-guided Multi-view Refinement CVPR 2025 IMG: Calibrating Diffusion Models via Implicit Multimodal Guidance ICCV 2025 Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models CVPR 2025 Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection AAAI 2025 Imitation Learning Based on Disentangled Representation Learning of Behavioral Characteristics CoRL 2025 Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment CVPR 2025 IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection ACL 2025 Impacts of Vocoder Selection on Tacotron-based Nepali Text-To-Speech Synthesis COLING 2025 Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding ACL 2025 ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025 Imperceptible 3D Point Cloud Attacks on Lattice-based Barycentric Coordinates AAAI 2025 Implicit Counterfactual Learning for Audio-Visual Segmentation ICCV 2025 Implicit Hate Target Span Detection in Zero- and Few-Shot Settings with Selective Sub-Billion Parameter Models ACL 2025 Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video Captioning AAAI 2025 ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos ACL 2025 Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation AISTATS 2025 Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025 Improve Representation for Imbalanced Regression through Geometric Constraints CVPR 2025 Improving Accuracy and Calibration via Differentiated Deep Mutual Learning CVPR 2025