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)
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples
EMNLP 2022
Investigating Tradeoffs in Real-World Video Super-Resolution
CVPR 2022
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
ICML 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?
NeurIPS 2022
IrekiaLFes: a New Open Benchmark and Baseline Systems for Spanish Automatic Text Simplification
EMNLP 2022
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection
EMNLP 2022
Is L^2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?
NeurIPS 2022
Is a Question Decomposition Unit All We Need?
EMNLP 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
ACL 2022
IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling
AAAI 2022
Is Mapping Necessary for Realistic PointGoal Navigation?
CVPR 2022
ISNet: Shape Matters for Infrared Small Target Detection
CVPR 2022
Isometric 3D Adversarial Examples in the Physical World
NeurIPS 2022
Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation
NeurIPS 2022
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces
EMNLP 2022
Iterative Deep Homography Estimation
CVPR 2022
Iterative Few-shot Semantic Segmentation from Image Label Text
IJCAI 2022
Iteratively Prompt Pre-trained Language Models for Chain of Thought
EMNLP 2022
Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier
AAAI 2022
It Is Not Easy To Detect Paraphrases: Analysing Semantic Similarity With Antonyms and Negation Using the New SemAntoNeg Benchmark
EMNLP 2022
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
CVPR 2022
It's About Time: Analog Clock Reading in the Wild
CVPR 2022
“It’s Not Just Hate”: A Multi-Dimensional Perspective on Detecting Harmful Speech Online
EMNLP 2022
It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation
ICLR 2022
It Takes Two to Tango: Mixup for Deep Metric Learning
ICLR 2022