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)
Scalable Language Model with Generalized Continual Learning
ICLR 2024
Scalable Meta-Learning with Gaussian Processes
AISTATS 2024
Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
ICLR 2024
Scalable Motion Style Transfer with Constrained Diffusion Generation
AAAI 2024
Scalable Pre-training of Large Autoregressive Image Models
ICML 2024
Scalable Resampling in Massive Generalized Linear Models via Subsampled Residual Bootstrap
JMLR 2024
SCaLAR NITK at SemEval-2024 Task 5: Towards Unsupervised Question Answering system with Multi-level Summarization for Legal Text
SemEval 2024
Scale and Direction Guided GAN for Inertial Sensor Signal Enhancement
IJCAI 2024
Scale-free Adversarial Reinforcement Learning
COLT 2024
Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks
EACL 2024
Scaling Few-Shot Learning for the Open World
AAAI 2024
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws
EMNLP 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
Scaling Law for Time Series Forecasting
NeurIPS 2024
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
NeurIPS 2024
Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic
CVPR 2024
Scaling Laws of Synthetic Images for Model Training ... for Now
CVPR 2024
Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction
AAAI 2024
Scaling Sentence Embeddings with Large Language Models
EMNLP 2024
Scaling Speech Technology to 1,000+ Languages
JMLR 2024
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting
NeurIPS 2024
Scaling Up Dynamic Human-Scene Interaction Modeling
CVPR 2024
Scaling up masked audio encoder learning for general audio classification
Interspeech 2024
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon
AAAI 2024
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
AAAI 2024