conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

2,498

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6,422

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Papers (including subtopics)

Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract) AAAI 2023 Towards Fairness-aware Adversarial Network Pruning ICCV 2023 Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training ACL 2023 Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval CVPR 2023 Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation EACL 2023 Towards Flow Graph Prediction of Open-Domain Procedural Texts ACL 2023 Towards Fully Quantized Neural Networks For Speech Enhancement Interspeech 2023 Towards Gender Fairness for Mental Health Prediction IJCAI 2023 Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training CVPR 2023 Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation NeurIPS 2023 Towards Good Practices for Missing Modality Robust Action Recognition AAAI 2023 Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification ICCV 2023 Towards Higher Ranks via Adversarial Weight Pruning NeurIPS 2023 Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting CVPR 2023 Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer IJCAI 2023 Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023 Towards Inference Efficient Deep Ensemble Learning AAAI 2023 Towards Instance-adaptive Inference for Federated Learning ICCV 2023 Towards Label Position Bias in Graph Neural Networks NeurIPS 2023 Towards Last-layer Retraining for Group Robustness with Fewer Annotations NeurIPS 2023 Towards Lossless Head Pruning through Automatic Peer Distillation for Language Models IJCAI 2023 Towards Mitigating Perceived Unfairness in Contracts from a Non-Legal Stakeholder’s Perspective EMNLP 2023 Towards Online Domain Adaptive Object Detection WACV 2023 Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization ICCV 2023 Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach ACL 2023