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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Papers (including subtopics)
Group Fairness in Predict-Then-Optimize Settings for Restless Bandits
UAI 2024
Group Preference Optimization: Few-Shot Alignment of Large Language Models
ICLR 2024
Group Robust Preference Optimization in Reward-free RLHF
NeurIPS 2024
Group-Wise Contrastive Bottleneck for Weakly-Supervised Visual Representation Learning
WACV 2024
Group-wise oracle-efficient algorithms for online multi-group learning
NeurIPS 2024
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection
CVPR 2024
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract)
IJCAI 2024
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
NeurIPS 2024
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
ACL 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning
NeurIPS 2024
GTNC: A Many-To-One Dataset of Google Translations from NewsCrawl
EACL 2024
GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation
WACV 2024
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
NeurIPS 2024
Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing
UAI 2024
Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!
ACL 2024
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts
NeurIPS 2024
Guided Cluster Aggregation: A Hierarchical Approach to Generalized Category Discovery
WACV 2024
Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language
COLING 2024
Guided Distillation for Semi-Supervised Instance Segmentation
WACV 2024
Guided Slot Attention for Unsupervised Video Object Segmentation
CVPR 2024
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
NeurIPS 2024
Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations
NAACL 2024
Guiding Large Language Models via External Attention Prompting for Scientific Extreme Summarization
ACL 2024
Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic
ACL 2024
GunStance: Stance Detection for Gun Control and Gun Regulation
ACL 2024