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
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'25
Papers (including subtopics)
Optimising Spatial Teamwork Under Uncertainty
AAAI 2025
Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio
Interspeech 2025
Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
ACL 2025
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration
AAAI 2025
Optimizing ASR for Catalan-Spanish Code-Switching: A Comparative Analysis of Methodologies
Interspeech 2025
Optimizing CLAP Reward with LLM Feedback for Semantically Aligned and Diverse Automated Audio Captioning
Interspeech 2025
Optimizing Cross-Client Domain Coverage for Federated Instruction Tuning of Large Language Models
EMNLP 2025
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation
NAACL 2025
Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
ACL 2025
Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy
CVPR 2025
ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study
ACL 2025
Orchestrating Audio: Multi-Agent Framework for Long-Video Audio Synthesis
EMNLP 2025
Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection
AAAI 2025
OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM
ICCV 2025
Order Doesn’t Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
EMNLP 2025
Orthogonal Finetuning Made Scalable
EMNLP 2025
OS-GCL: A One-Shot Learner in Graph Contrastive Learning
IJCAI 2025
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis
ACL 2025
OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
CVPR 2025
OSV: One Step is Enough for High-Quality Image to Video Generation
CVPR 2025
OTIAS: OcTree Implicit Adaptive Sampling for Multispectral and Hyperspectral Image Fusion
AAAI 2025
OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems
AAAI 2025
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
CVPR 2025
Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion
AAAI 2025
Out-of-Distribution Detection with Prototypical Outlier Proxy
AAAI 2025