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)
Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding
NeurIPS 2024
ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing
CVPR 2024
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
NeurIPS 2024
OdiaGenAI’s Participation in WMT2024 English-to-Low Resource Multimodal Translation Task
EMNLP 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search
AAAI 2024
OHTA: One-shot Hand Avatar via Data-driven Implicit Priors
CVPR 2024
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
EMNLP 2024
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
NeurIPS 2024
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems
EMNLP 2024
OMG-Seg: Is One Model Good Enough For All Segmentation?
CVPR 2024
OmniControl: Control Any Joint at Any Time for Human Motion Generation
ICLR 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
NeurIPS 2024
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency
AAAI 2024
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees
CVPR 2024
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
CVPR 2024
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
CVPR 2024
OmniVec: Learning Robust Representations With Cross Modal Sharing
WACV 2024
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
AAAI 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
NeurIPS 2024
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
AAAI 2024
One2Set + Large Language Model: Best Partners for Keyphrase Generation
EMNLP 2024
One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning
CVPR 2024
One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment
ICML 2024
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
NeurIPS 2024
On Eliciting Syntax from Language Models via Hashing
EMNLP 2024