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)
All You Need is Attention: Lightweight Attention-based Data Augmentation for Text Classification
EMNLP 2024
ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation
ACL 2024
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
NeurIPS 2024
AltDiffusion: A Multilingual Text-to-Image Diffusion Model
AAAI 2024
Altogether: Image Captioning via Re-aligning Alt-text
EMNLP 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
NeurIPS 2024
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
ICLR 2024
A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task
ACL 2024
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
NeurIPS 2024
AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement
ACML 2024
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection
NeurIPS 2024
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
NeurIPS 2024
Amortized Equation Discovery in Hybrid Dynamical Systems
ICML 2024
Amortized Network Intervention to Steer the Excitatory Point Processes
ICLR 2024
Amortizing intractable inference in diffusion models for vision, language, and control
NeurIPS 2024
AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One
CVPR 2024
A Multi-Faceted NLP Analysis of Misinformation Spreaders in Twitter
ACL 2024
A Multimodal Automated Interpretability Agent
ICML 2024
A Multimodal Benchmark and Improved Architecture for Zero Shot Learning
WACV 2024
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition
AAAI 2024
A Multi-Perspective Analysis of Memorization in Large Language Models
EMNLP 2024
A Multi-task Framework with Enhanced Hierarchical Attention for Sentiment Analysis on Classical Chinese Poetry: Utilizing Information from Short Lines
EMNLP 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
CVPR 2024
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
NeurIPS 2024
Analysing The Impact of Sequence Composition on Language Model Pre-Training
ACL 2024