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)

Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment IJCAI 2022 Robust Image Forgery Detection Over Online Social Network Shared Images CVPR 2022 Robust Imitation of a Few Demonstrations with a Backwards Model NeurIPS 2022 Robust Imitation via Mirror Descent Inverse Reinforcement Learning NeurIPS 2022 Robust Lottery Tickets for Pre-trained Language Models ACL 2022 Robust Models are less Over-Confident NeurIPS 2022 Robust MT Evaluation with Sentence-level Multilingual Augmentation EMNLP 2022 Robustness Analysis of Video-Language Models Against Visual and Language Perturbations NeurIPS 2022 Robustness and Accuracy Could Be Reconcilable by (Proper) Definition ICML 2022 Robustness Disparities in Face Detection NeurIPS 2022 Robustness of Demonstration-based Learning Under Limited Data Scenario EMNLP 2022 Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions EMNLP 2022 Robust Neural Posterior Estimation and Statistical Model Criticism NeurIPS 2022 Robust Optimization As Data Augmentation for Large-Scale Graphs CVPR 2022 Robust Outlier Detection by De-Biasing VAE Likelihoods CVPR 2022 Robust Product Classification with Instance-Dependent Noise ACL 2022 Robust Region Feature Synthesizer for Zero-Shot Object Detection CVPR 2022 Robust Reinforcement Learning using Offline Data NeurIPS 2022 Robust Scene Text Detection via Learnable Scene Transformations ACML 2022 Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022 Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks With Implicit Gradients CVPR 2022 RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining ACL 2022 RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022 ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022 RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion ACL 2022