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)
InteMATs: Integrating Granularity-Specific Multilingual Adapters for Cross-Lingual Transfer
EMNLP 2023
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery
EMNLP 2023
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild
AAAI 2023
Interactive Image Manipulation With Complex Text Instructions
WACV 2023
Interactive Text Generation
EMNLP 2023
Inter-image Contrastive Consistency for Multi-Person Pose Estimation
AAAI 2023
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
ACL 2023
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER
ACL 2023
Internal Robust Representations for Domain Generalization
AAAI 2023
Interpolating Graph Pair to Regularize Graph Classification
AAAI 2023
Interpreting Sentiment Composition with Latent Semantic Tree
ACL 2023
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images
CVPR 2023
Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models
CVPR 2023
Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup
CVPR 2023
Introducing Semantics into Speech Encoders
ACL 2023
Intuitive Multilingual Audio-Visual Speech Recognition with a Single-Trained Model
EMNLP 2023
Invariant Representations with Stochastically Quantized Neural Networks
AAAI 2023
Inverse Reinforcement Learning for Text Summarization
EMNLP 2023
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions
EMNLP 2023
Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis
ACL 2023
Is a Caption Worth a Thousand Images? A Study on Representation Learning
ICLR 2023
Is Anisotropy Truly Harmful? A Case Study on Text Clustering
ACL 2023
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding
CVPR 2023
Is ChatGPT the ultimate Data Augmentation Algorithm?
EMNLP 2023
Is GPT-3 a Good Data Annotator?
ACL 2023