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 Transferable Targeted Adversarial Examples
CVPR 2023
Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
CVPR 2023
Towards Two-point Neuron-inspired Energy-efficient Multimodal Open Master Hearing Aid
Interspeech 2023
Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation
ACL 2023
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
ICLR 2023
Towards Understanding Omission in Dialogue Summarization
ACL 2023
Towards Unified, Explainable, and Robust Multisensory Perception
AAAI 2023
Towards Unifying Multi-Lingual and Cross-Lingual Summarization
ACL 2023
Towards Universal Fake Image Detectors That Generalize Across Generative Models
CVPR 2023
Towards Voice Reconstruction from EEG during Imagined Speech
AAAI 2023
Towards Zero-shot Learning for End-to-end Cross-modal Translation Models
EMNLP 2023
Towards Zero-Shot Multilingual Transfer for Code-Switched Responses
ACL 2023
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path
EMNLP 2023
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation
EMNLP 2023
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
EMNLP 2023
Tracking the Evolution of Covid-19 Symptoms through Clinical Conversations
ACL 2023
Trade-Off Between Robustness and Accuracy of Vision Transformers
CVPR 2023
Trade-Offs Between Fairness and Privacy in Language Modeling
ACL 2023
Trafformer: Unify Time and Space in Traffic Prediction
AAAI 2023
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
ACML 2023
Training Deep Surrogate Models with Large Scale Online Learning
ICML 2023
Training Meta-Surrogate Model for Transferable Adversarial Attack
AAAI 2023
Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia Detection
ACL 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
NeurIPS 2023
Training Transitive and Commutative Multimodal Transformers with LoReTTa
NeurIPS 2023