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)
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
ACL 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
ICLR 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
NAACL 2024
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation
CVPR 2024
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation
NeurIPS 2024
Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent
JMLR 2024
Overview of Shared Task on Multitask Meme Classification - Unraveling Misogynistic and Trolls in Online Memes
EACL 2024
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation
CVPR 2024
P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
NeurIPS 2024
P2D: Plug and Play Discriminator for Accelerating GAN Frameworks
WACV 2024
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
ACL 2024
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
NeurIPS 2024
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
NeurIPS 2024
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
ACL 2024
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
CVPR 2024
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher
NeurIPS 2024
Painterly Image Harmonization via Adversarial Residual Learning
WACV 2024
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
CVPR 2024
PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor
CVPR 2024
PairDistill: Pairwise Relevance Distillation for Dense Retrieval
EMNLP 2024
PALM: Few-Shot Prompt Learning for Audio Language Models
EMNLP 2024
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models
NeurIPS 2024
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
CVPR 2024
PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images
CVPR 2024
Panoptic Scene Graph Generation with Semantics-Prototype Learning
AAAI 2024