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)
Towards Need-Based Spoken Language Understanding Model Updates: What Have We Learned?
EMNLP 2022
Towards Practical Certifiable Patch Defense With Vision Transformer
CVPR 2022
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference
NeurIPS 2022
Towards Real-World Navigation With Deep Differentiable Planners
CVPR 2022
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
NeurIPS 2022
Towards Robust Adaptive Object Detection Under Noisy Annotations
CVPR 2022
Towards Robust k-Nearest-Neighbor Machine Translation
EMNLP 2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond
CVPR 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
EMNLP 2022
Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin
CVPR 2022
Towards Simple and Efficient Task-Adaptive Pre-training for Text Classification
AACL 2022
Towards Stronger Adversarial Baselines Through Human-AI Collaboration
ACL 2022
Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders
COLING 2022
Towards Summary Candidates Fusion
EMNLP 2022
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
EMNLP 2022
Towards Total Recall in Industrial Anomaly Detection
CVPR 2022
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations
ICLR 2022
Towards Transferable Adversarial Attacks on Vision Transformers
AAAI 2022
Towards Understanding Grokking: An Effective Theory of Representation Learning
NeurIPS 2022
Towards understanding how momentum improves generalization in deep learning
ICML 2022
Towards Unified Prompt Tuning for Few-shot Text Classification
EMNLP 2022
Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory
AAAI 2022
Toward the Limitation of Code-Switching in Cross-Lingual Transfer
EMNLP 2022
Toward Unifying Text Segmentation and Long Document Summarization
EMNLP 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
ACL 2022