Co-occurring keywords · papers mentioning both
Papers
Effective Interplay between Sparsity and Quantization: From Theory to Practice
ICLR 2025
LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models
COLING 2025
MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks
CVPR 2025
NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
ICLR 2025
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
ICLR 2025
AMLB: an AutoML Benchmark
JMLR 2024
Data, Data Everywhere: A Guide for Pretraining Dataset Construction
EMNLP 2024
Delving into Differentially Private Transformer
ICML 2024
Fairness without Harm: An Influence-Guided Active Sampling Approach
NeurIPS 2024
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
NeurIPS 2024
Partially Interpretable Models with Guarantees on Coverage and Accuracy
ALT 2024
Practical Hybrid Gradient Compression for Federated Learning Systems
IJCAI 2024
Quilt: Robust Data Segment Selection against Concept Drifts
AAAI 2024
The Entropy Enigma: Success and Failure of Entropy Minimization
ICML 2024
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
IJCAI 2023
A Mixed-Precision Quantization Method without Accuracy Degradation Using Semilayers
ACML 2023
Beyond probability partitions: Calibrating neural networks with semantic aware grouping
NeurIPS 2023
Deconstructing Distributions: A Pointwise Framework of Learning
ICLR 2023
FreeREA: Training-Free Evolution-Based Architecture Search
WACV 2023
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement
ICCV 2023
Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models
ACL 2022
How Much Does Input Data Type Impact Final Face Model Accuracy?
CVPR 2022
Iterative Stratified Testing and Measurement for Automated Model Updates
EMNLP 2022
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
NeurIPS 2022
Secure Quantized Training for Deep Learning
ICML 2022