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
'25
Papers (including subtopics)
Fairness without Demographics through Shared Latent Space-Based Debiasing
AAAI 2024
Fairness without Harm: An Influence-Guided Active Sampling Approach
NeurIPS 2024
Fair Online Bilateral Trade
NeurIPS 2024
FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels
AAAI 2024
FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection
IJCAI 2024
FairRR: Pre-Processing for Group Fairness through Randomized Response
AISTATS 2024
Fair Secretaries with Unfair Predictions
NeurIPS 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
AAAI 2024
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning
AAAI 2024
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
ICLR 2024
Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
AAAI 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
EMNLP 2024
Faithful Persona-based Conversational Dataset Generation with Large Language Models
ACL 2024
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract)
AAAI 2024
Faithful Vision-Language Interpretation via Concept Bottleneck Models
ICLR 2024
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation
WACV 2024
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models
ACL 2024
Fast Adaptation for Human Pose Estimation via Meta-Optimization
CVPR 2024
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
NeurIPS 2024
Fast Adversarial Attacks on Language Models In One GPU Minute
ICML 2024
Fast and Adversarial Robust Kernelized SDU Learning
AISTATS 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
IJCAI 2024
Fast Best-of-N Decoding via Speculative Rejection
NeurIPS 2024
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
ICLR 2024
Faster Convergence with MultiWay Preferences
AISTATS 2024