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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)

Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport AAAI 2025 HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting AAAI 2025 HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks CVPR 2025 Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy AISTATS 2025 i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation UAI 2025 I0T: Embedding Standardization Method Towards Zero Modality Gap ACL 2025 I2VControl: Disentangled and Unified Video Motion Synthesis Control ICCV 2025 I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models CVPR 2025 IAA: Inner-Adaptor Architecture Empowers Frozen Large Language Model with Multimodal Capabilities AAAI 2025 IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization ICCV 2025 ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets AAAI 2025 IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves ICCV 2025 Identifying and Mitigating Position Bias of Multi-image Vision-Language Models CVPR 2025 Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models ACL 2025 Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025 Identifying Open Challenges in Language Identification ACL 2025 Idiosyncratic Versus Normative Modeling of Atypical Speech Recognition: Dysarthric Case Studies EMNLP 2025 IDIR: Identifying and Distilling Informative Relations for Speaker Verification Interspeech 2025 IDOL: Instant Photorealistic 3D Human Creation from a Single Image CVPR 2025 iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection ICML 2025 IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation AAAI 2025 If I feel smart, I will do the right thing: Combining Complementary Multimodal Information in Visual Language Models COLING 2025 iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models EMNLP 2025 ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance ICCV 2025 Image-Caption Encoding for Improving Zero-Shot Generalization WACV 2025