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)
The Hidden Folk: Linguistic Properties Encoded in Multilingual Contextual Character Representations
ACL 2023
The hidden uniform cluster prior in self-supervised learning
ICLR 2023
The Importance of Anti-Aliasing in Tiny Object Detection
ACML 2023
The Interpreter Understands Your Meaning: End-to-end Spoken Language Understanding Aided by Speech Translation
EMNLP 2023
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
ICLR 2023
The Learnability of In-Context Learning
NeurIPS 2023
The Less the Merrier? Investigating Language Representation in Multilingual Models
EMNLP 2023
The Locality and Symmetry of Positional Encodings
EMNLP 2023
The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks
ACL 2023
The NiuTrans End-to-End Speech Translation System for IWSLT23 English-to-Chinese Offline Task
ACL 2023
The Numerical Stability of Hyperbolic Representation Learning
ICML 2023
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness
AISTATS 2023
The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion
ICCV 2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
ICML 2023
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation
NeurIPS 2023
The SpeeD--ZevoTech submission at DISPLACE 2023
Interspeech 2023
The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction
EMNLP 2023
The Transient Nature of Emergent In-Context Learning in Transformers
NeurIPS 2023
The Unreasonable Effectiveness of Deep Evidential Regression
AAAI 2023
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation
ICML 2023
The Web Can Be Your Oyster for Improving Language Models
ACL 2023
The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding
ACL 2023
The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task
ACL 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations
NeurIPS 2023
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
CVPR 2023