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)
Scheduling jobs with stochastic holding costs
NeurIPS 2021
SChISM: Semantic Clustering via Image Sequence Merging for Images of Human-Decomposition
WACV 2021
SciConceptMiner: A system for large-scale scientific concept discovery
ACL 2021
Screening for Depressed Individuals by Using Multimodal Social Media Data
AAAI 2021
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
ICCV 2021
Scribble-Supervised Semantic Segmentation Inference
ICCV 2021
Script Parsing with Hierarchical Sequence Modelling
ACL 2021
SCRIPT: Self-Critic PreTraining of Transformers
NAACL 2021
SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance
CVPR 2021
SDM-Net: A simple and effective model for generalized zero-shot learning
UAI 2021
SD-QA: Spoken Dialectal Question Answering for the Real World
EMNLP 2021
SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions
L4DC 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
NeurIPS 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
EMNLP 2021
Searching for Fast Model Families on Datacenter Accelerators
CVPR 2021
Searching for Legal Documents at Paragraph Level: Automating Label Generation and Use of an Extended Attention Mask for Boosting Neural Models of Semantic Similarity
EMNLP 2021
Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data
ICCV 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
ICML 2021
Secoco: Self-Correcting Encoding for Neural Machine Translation
EMNLP 2021
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
AAAI 2021
SEED: Self-supervised Distillation For Visual Representation
ICLR 2021
Seed Word Selection for Weakly-Supervised Text Classification with Unsupervised Error Estimation
NAACL 2021
Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment
ICCV 2021
See More for Scene: Pairwise Consistency Learning for Scene Classification
NeurIPS 2021
Segatron: Segment-Aware Transformer for Language Modeling and Understanding
AAAI 2021