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)
The Implicit Bias of Gradient Descent on Separable Multiclass Data
NeurIPS 2024
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions
NeurIPS 2024
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
NeurIPS 2024
The Inter-batch Diversity of Samples in Experience Replay for Continual Learning
AAAI 2024
The Interspeech 2024 TAUKADIAL Challenge: Multilingual Mild Cognitive Impairment Detection with Multimodal Approach
Interspeech 2024
The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models
AAAI 2024
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
ICLR 2024
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
NeurIPS 2024
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
ACL 2024
The Limits of Differential Privacy in Online Learning
NeurIPS 2024
The Many Faces of Optimal Weak-to-Strong Learning
NeurIPS 2024
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
NeurIPS 2024
The MERSA Dataset and a Transformer-Based Approach for Speech Emotion Recognition
ACL 2024
The Mirrored Influence Hypothesis: Efficient Data Influence Estimation by Harnessing Forward Passes
CVPR 2024
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
EMNLP 2024
The Model Arena for Cross-lingual Sentiment Analysis: A Comparative Study in the Era of Large Language Models
ACL 2024
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm
EMNLP 2024
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
NeurIPS 2024
The Neglected Tails in Vision-Language Models
CVPR 2024
The Non-Overlapping Statistical Approximation to Overlapping Group Lasso
JMLR 2024
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts
EMNLP 2024
Theoretical Analysis of Weak-to-Strong Generalization
NeurIPS 2024
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
NeurIPS 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
AISTATS 2024
Theoretical Understanding of Learning from Adversarial Perturbations
ICLR 2024