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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330

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1,020

1,828

2,498

3,411

3,854

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6,422

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1,666

2000

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Papers (including subtopics)

Revealing Confounding Biases: A Novel Benchmarking Approach for Aggregate-Level Performance Metrics in Health Assessments Interspeech 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NeurIPS 2024 Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness ICML 2024 Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition IJCAI 2024 Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation ACL 2024 Reverie: Low Pass Filter-Based Switch Buffer Sharing for Datacenters with RDMA and TCP Traffic NSDI 2024 Reverse Knowledge Distillation: Training a Large Model Using a Small One for Retinal Image Matching on Limited Data WACV 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors AAAI 2024 Revisiting Adversarial Training at Scale CVPR 2024 Revisiting Adversarial Training Under Long-Tailed Distributions CVPR 2024 Revisiting Annotation of Online Gender-Based Violence COLING 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NeurIPS 2024 Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance ACL 2024 Revisiting Congestion Control for Lossless Ethernet NSDI 2024 Revisiting Context Aggregation for Image Matting ICML 2024 Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024 Revisiting Differentially Private ReLU Regression NeurIPS 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks AAAI 2024 Revisiting Interpolation Augmentation for Speech-to-Text Generation ACL 2024 Revisiting Knowledge Distillation for Autoregressive Language Models ACL 2024 Revisiting Multimodal Transformers for Tabular Data with Text Fields ACL 2024 Revisiting Neural Networks for Continual Learning: An Architectural Perspective IJCAI 2024 Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ICLR 2024