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)
What Can an Accent Identifier Learn? Probing Phonetic and Prosodic Information in a Wav2vec2-based Accent Identification Model
Interspeech 2023
What Can Human Sketches Do for Object Detection?
CVPR 2023
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
ICLR 2023
What do self-supervised speech representations encode? An analysis of languages, varieties, speaking styles and speakers
Interspeech 2023
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
AAAI 2023
What In-Context Learning “Learns” In-Context: Disentangling Task Recognition and Task Learning
ACL 2023
What is the best recipe for character-level encoder-only modelling?
ACL 2023
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
EMNLP 2023
What Makes Pre-trained Language Models Better Zero-shot Learners?
ACL 2023
What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection
ACL 2023
When Do Curricula Work in Federated Learning?
ICCV 2023
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP
ACL 2023
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
NeurIPS 2023
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
AAAI 2023
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
ACL 2023
When to Read Documents or QA History: On Unified and Selective Open-domain QA
ACL 2023
When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants
ACL 2023
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
ACL 2023
Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization
CVPR 2023
Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization
CVPR 2023
Where’s the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
ACL 2023
Where to start? Analyzing the potential value of intermediate models
EMNLP 2023
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
ICML 2023
Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals
ACL 2023
Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers
Interspeech 2023