Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
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Papers (including subtopics)
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
ACL 2024
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy
EMNLP 2024
Improving Streaming Speech Recognition With Time-Shifted Contextual Attention And Dynamic Right Context Masking
Interspeech 2024
Improving Subgroup Robustness via Data Selection
NeurIPS 2024
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance
CVPR 2024
Improving Text Embeddings with Large Language Models
ACL 2024
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection
AAAI 2024
Improving the Effectiveness of Deep Generative Data
WACV 2024
Improving the Fairness of the Min-Max Game in GANs Training
WACV 2024
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
CVPR 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning
ACL 2024
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
AAAI 2024
Improving the Robustness of Large Language Models via Consistency Alignment
COLING 2024
Improving the Training of Rectified Flows
NeurIPS 2024
Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation
AAAI 2024
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
CVPR 2024
Improving Unsupervised Hierarchical Representation with Reinforcement Learning
CVPR 2024
Improving Unsupervised Neural Machine Translation via Training Data Self-Correction
COLING 2024
Improving Vision-and-Language Reasoning via Spatial Relations Modeling
WACV 2024
Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text
Interspeech 2024
Improving Word Sense Induction through Adversarial Forgetting of Morphosyntactic Information
NAACL 2024
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
IJCAI 2024
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models
EMNLP 2024
Incentivized Truthful Communication for Federated Bandits
ICLR 2024
Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding
AAAI 2024