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)
Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data
AAAI 2023
Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment
EMNLP 2023
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality
ACL 2023
Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering
ACL 2023
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques
ACL 2023
Improving generalization in large langue model by learning prefix subspaces
EMNLP 2023
Improving Grammatical Error Correction with Multimodal Feature Integration
ACL 2023
Improving Image Captioning via Predicting Structured Concepts
EMNLP 2023
Improving Image Recognition by Retrieving From Web-Scale Image-Text Data
CVPR 2023
Improving Input-label Mapping with Demonstration Replay for In-context Learning
EMNLP 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
AAAI 2023
Improving Joint Speech and Emotion Recognition Using Global Style Tokens
Interspeech 2023
Improving Joint Speech-Text Representations Without Alignment
Interspeech 2023
Improving Knowledge Graph Completion with Generative Hard Negative Mining
ACL 2023
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
ICML 2023
Improving Language Model Integration for Neural Machine Translation
ACL 2023
Improving Language Plasticity via Pretraining with Active Forgetting
NeurIPS 2023
Improving Long-Horizon Imitation through Instruction Prediction
AAAI 2023
Improving Low-resource Question Answering by Augmenting Question Information
EMNLP 2023
Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies
ACL 2023
Improving Mathematics Tutoring With A Code Scratchpad
ACL 2023
Improving Multi-Criteria Chinese Word Segmentation through Learning Sentence Representation
EMNLP 2023
Improving multimodal datasets with image captioning
NeurIPS 2023
Improving Multimodal Sentiment Analysis: Supervised Angular margin-based Contrastive Learning for Enhanced Fusion Representation
EMNLP 2023
Improving Multi-Stage Long Document Summarization with Enhanced Coarse Summarizer
EMNLP 2023