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 Robust Speech Representation Learning for Thousands of Languages
EMNLP 2024
Towards Safer Large Language Models through Machine Unlearning
ACL 2024
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
CVPR 2024
Towards Sharper Generalization Bounds for Adversarial Contrastive Learning
IJCAI 2024
Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
AAAI 2024
Towards Stable Representations for Protein Interface Prediction
NeurIPS 2024
Towards the TopMost: A Topic Modeling System Toolkit
ACL 2024
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
CVPR 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models
ACL 2024
Towards Transferable Adversarial Attacks with Centralized Perturbation
AAAI 2024
Towards Transferable Targeted 3D Adversarial Attack in the Physical World
CVPR 2024
Towards Trustworthy Deep Learning
AAAI 2024
Towards Unbiased Exploration in Partial Label Learning
JMLR 2024
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens
NeurIPS 2024
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis
EMNLP 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
ACL 2024
Towards Unsupervised Model Selection for Domain Adaptive Object Detection
NeurIPS 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection
EMNLP 2024
Towards Visual Text Design Transfer Across Languages
NeurIPS 2024
Toward the Modular Training of Controlled Paraphrase Adapters
EACL 2024
Tower v2: Unbabel-IST 2024 Submission for the General MT Shared Task
EMNLP 2024
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method
EMNLP 2024
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
EMNLP 2024
TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain
WACV 2024
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems
EMNLP 2024