Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
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