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)
ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image
CVPR 2024
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
ECCV 2024
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
ICML 2024
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance
EMNLP 2024
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding
NeurIPS 2024
ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement
Interspeech 2024
An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions
EMNLP 2024
An Investigation of Noise Robustness for Flow-Matching-Based Zero-Shot TTS
Interspeech 2024
An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification
EMNLP 2024
An LLM Feature-based Framework for Dialogue Constructiveness Assessment
EMNLP 2024
Annotating FrameNet via Structure-Conditioned Language Generation
ACL 2024
Annotation-Free Audio-Visual Segmentation
WACV 2024
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
AAAI 2024
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
AAAI 2024
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
CVPR 2024
A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation
ACL 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
JMLR 2024
A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates
AAAI 2024
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
IJCAI 2024
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
NeurIPS 2024
Any-dimensional equivariant neural networks
AISTATS 2024
AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model
EMNLP 2024
Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching
AAAI 2024
AnyTrans: Translate AnyText in the Image with Large Scale Models
EMNLP 2024
A One-Shot Learning Approach To Document Layout Segmentation of Ancient Arabic Manuscripts
WACV 2024