Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
TMU Japanese-English Multimodal Machine Translation System for WAT 2020
AACL 2020
TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020
AACL 2020
TMUOU Submission for WMT20 Quality Estimation Shared Task
EMNLP 2020
TNT: Text Normalization based Pre-training of Transformers for Content Moderation
EMNLP 2020
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
EMNLP 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
EMNLP 2020
Tone Learning in Low-Resource Bilingual TTS
Interspeech 2020
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples
NeurIPS 2020
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
ACL 2020
Torch-Struct: Deep Structured Prediction Library
ACL 2020
ToTTo: A Controlled Table-To-Text Generation Dataset
EMNLP 2020
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
AAAI 2020
Toward a Universal Model for Shape From Texture
CVPR 2020
Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models
L4DC 2020
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments
EMNLP 2020
Towards a Better Understanding of Label Smoothing in Neural Machine Translation
AACL 2020
Towards Accurate Scene Text Recognition With Semantic Reasoning Networks
CVPR 2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
CVPR 2020
Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription
Interspeech 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
IJCAI 2020
Towards an ASR Error Robust Spoken Language Understanding System
Interspeech 2020
Towards Backward-Compatible Representation Learning
CVPR 2020
Towards Better Context-aware Lexical Semantics:Adjusting Contextualized Representations through Static Anchors
EMNLP 2020
Towards Better Forecasting by Fusing Near and Distant Future Visions
AAAI 2020
Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet
CVPR 2020