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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)

GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping AAAI 2025 GER-LLM: Efficient and Effective Geospatial Entity Resolution with Large Language Model EMNLP 2025 GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-Grained Video-Language Learning WACV 2025 GFlow: Recovering 4D World from Monocular Video AAAI 2025 GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks CVPR 2025 Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training AAAI 2025 GIF: Generative Inspiration for Face Recognition at Scale CVPR 2025 GigaAM: Efficient Self-Supervised Learner for Speech Recognition Interspeech 2025 GigaEmbeddings — Efficient Russian Language Embedding Model ACL 2025 GigaHands: A Massive Annotated Dataset of Bimanual Hand Activities CVPR 2025 GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement ACL 2025 GIIFT: Graph-guided Inductive Image-free Multimodal Machine Translation EMNLP 2025 GIL-IIMAS UNAM at SemEval-2025 Task 4: LA-Min(E): LLM Unlearning Approaches Under Function Minimizing Evaluation Constraints SemEval 2025 GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization AAAI 2025 GinGer at SemEval-2025 Task 11: Leveraging Fine-Tuned Transformer Models and LoRA for Sentiment Analysis in Low-Resource Languages SemEval 2025 GIVEPose: Gradual Intra-class Variation Elimination for RGB-based Category-Level Object Pose Estimation CVPR 2025 GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection AAAI 2025 GLCLAP: A Novel Contrastive Learning Pre-trained Model for Contextual Biasing in ASR Interspeech 2025 GLIC: General Format Learned Image Compression AAAI 2025 Glider: Global and Local Instruction-Driven Expert Router EMNLP 2025 GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? EMNLP 2025 Global Context-aware Representation Learning for Spatially Resolved Transcriptomics ICML 2025 Global Convergence and Rich Feature Learning in L-Layer Infinite-Width Neural Networks under μ Parametrization ICML 2025 Global Eye: Breaking the “Fixed Thinking Pattern” during the Instruction Expansion Process ACL 2025 Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering AAAI 2025