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)
TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference
EMNLP 2023
TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations
ACL 2023
Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation
Interspeech 2023
Text Only Domain Adaptation with Phoneme Guided Data Splicing for End-to-End Speech Recognition
Interspeech 2023
Texts as Images in Prompt Tuning for Multi-Label Image Recognition
CVPR 2023
Text Style Transfer with Contrastive Transfer Pattern Mining
ACL 2023
Text-Visual Prompting for Efficient 2D Temporal Video Grounding
CVPR 2023
Text With Knowledge Graph Augmented Transformer for Video Captioning
CVPR 2023
The Adversarial Consistency of Surrogate Risks for Binary Classification
NeurIPS 2023
The Aggregation–Heterogeneity Trade-off in Federated Learning
COLT 2023
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers
ACL 2023
The Benefits of Mixup for Feature Learning
ICML 2023
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks
CVPR 2023
The BIGAI Offline Speech Translation Systems for IWSLT 2023 Evaluation
ACL 2023
The Catalog Problem: Clustering and Ordering Variable-Sized Sets
ICML 2023
The Change You Want To See
WACV 2023
The Dark Side of AutoML: Towards Architectural Backdoor Search
ICLR 2023
The Devil Is in the Frequency: Geminated Gestalt Autoencoder for Self-Supervised Visual Pre-training
AAAI 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
ICML 2023
The D-WISE Tool Suite: Multi-Modal Machine-Learning-Powered Tools Supporting and Enhancing Digital Discourse Analysis
ACL 2023
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
ICML 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter
NeurIPS 2023
The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
CVPR 2023
The Expressive Power of Tuning Only the Normalization Layers
COLT 2023
The Helsinki-NLP Submissions at NADI 2023 Shared Task: Walking the Baseline
EMNLP 2023