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

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Papers (including subtopics)

Adversarial Robustness Across Representation Spaces CVPR 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 Adversarial Robustness Under Long-Tailed Distribution CVPR 2021 Adversarial Robustness with Non-uniform Perturbations NeurIPS 2021 Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021 Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021 Adversarial Training Helps Transfer Learning via Better Representations NeurIPS 2021 Adversarial Training Reduces Information and Improves Transferability AAAI 2021 Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks AAAI 2021 Adversarial Turing Patterns from Cellular Automata AAAI 2021 Adversarial Voice Conversion Against Neural Spoofing Detectors Interspeech 2021 Adversities are all you need: Classification of self-reported breast cancer posts on Twitter using Adversarial Fine-tuning NAACL 2021 AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER ACL 2021 (AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network CVPR 2021 A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach EMNLP 2021 AFEC: Active Forgetting of Negative Transfer in Continual Learning NeurIPS 2021 Affordance Transfer Learning for Human-Object Interaction Detection CVPR 2021 A Fourier-Based Framework for Domain Generalization CVPR 2021 A Framework to Learn with Interpretation NeurIPS 2021 A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data AAAI 2021 A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021 A Generative Framework for Simultaneous Machine Translation EMNLP 2021 A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition NeurIPS 2021 AggGen: Ordering and Aggregating while Generating ACL 2021 A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry AAAI 2021