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)
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning
EMNLP 2024
From Chaos to Clarity: 3DGS in the Dark
NeurIPS 2024
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
EMNLP 2024
From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation
CVPR 2024
From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space
AAAI 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
NeurIPS 2024
From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking
EMNLP 2024
From RAG to Riches: Retrieval Interlaced with Sequence Generation
EMNLP 2024
From Role-Play to Drama-Interaction: An LLM Solution
ACL 2024
From Sights to Insights: Towards Summarization of Multimodal Clinical Documents
ACL 2024
From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Texts
EMNLP 2024
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models
NeurIPS 2024
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
ECCV 2024
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
CVPR 2024
Frozen CLIP Transformer Is an Efficient Point Cloud Encoder
AAAI 2024
Frozen Feature Augmentation for Few-Shot Image Classification
CVPR 2024
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning
AAAI 2024
FSC: Few-point Shape Completion
CVPR 2024
FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion
ACML 2024
Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation
AAAI 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
CVPR 2024
Functional Wasserstein Variational Policy Optimization
UAI 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
NeurIPS 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
NeurIPS 2024
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion
EMNLP 2024