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)
Vulnerabilities of Large Language Models to Adversarial Attacks
ACL 2024
W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation
AAAI 2024
Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets
EMNLP 2024
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion
CVPR 2024
WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection
ACL 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
NeurIPS 2024
WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights
CVPR 2024
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
CVPR 2024
WATT: Weight Average Test Time Adaptation of CLIP
NeurIPS 2024
wav2vec-S: Adapting Pre-trained Speech Models for Streaming
ACL 2024
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks
NeurIPS 2024
WaveMo: Learning Wavefront Modulations to See Through Scattering
CVPR 2024
Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning
AAAI 2024
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
ICML 2024
Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
ICLR 2024
Weakly-Supervised Audio-Visual Video Parsing with Prototype-based Pseudo-Labeling
CVPR 2024
Weakly-Supervised Deepfake Localization in Diffusion-Generated Images
WACV 2024
Weakly Supervised Few-Shot Object Detection with DETR
AAAI 2024
Weakly-Supervised Mirror Detection via Scribble Annotations
AAAI 2024
Weakly Supervised Multimodal Affordance Grounding for Egocentric Images
AAAI 2024
Weakly Supervised Open-Vocabulary Object Detection
AAAI 2024
Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
CVPR 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
ICML 2024
Weakly Supervised Semantic Segmentation for Driving Scenes
AAAI 2024
WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection
AAAI 2024