conftrace_

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)

A Distributional Approach to Controlled Text Generation ICLR 2021 A Double Phases Generation Network for Yes or No Question Generation (Student Abstract) AAAI 2021 AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment AAAI 2021 Adversarial Data Augmentation for Disordered Speech Recognition Interspeech 2021 Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles AAAI 2021 Adversarial Directed Graph Embedding AAAI 2021 Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation WACV 2021 Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams NeurIPS 2021 Adversarial Examples in Physical World IJCAI 2021 Adversarial Feature Disentanglement for Long-Term Person Re-identification IJCAI 2021 Adversarial Generation of Continuous Images CVPR 2021 Adversarial Imaging Pipelines CVPR 2021 Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021 Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink CVPR 2021 Adversarial Learning for Discourse Rhetorical Structure Parsing ACL 2021 Adversarially Adaptive Normalization for Single Domain Generalization CVPR 2021 Adversarially Guided Actor-Critic ICLR 2021 Adversarially Learning Disentangled Speech Representations for Robust Multi-Factor Voice Conversion Interspeech 2021 Adversarially Robust Change Point Detection NeurIPS 2021 Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition AAAI 2021 Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021 Adversarial Neuron Pruning Purifies Backdoored Deep Models NeurIPS 2021 Adversarial Pose Regression Network for Pose-Invariant Face Recognitions AAAI 2021 Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021 Adversarial Reweighting for Partial Domain Adaptation NeurIPS 2021