Efficient Computing

Differentiable Model Scaling using Differentiable Topk ICML 2024 Differentiable Product Quantization for Memory Efficient Camera Relocalization ECCV 2024 Differentiable Weightless Neural Networks ICML 2024 Differentially Private Bias-Term Fine-tuning of Foundation Models ICML 2024 diff History for Neural Language Agents ICML 2024 DiffusionLight: Light Probes for Free by Painting a Chrome Ball CVPR 2024 Diffusion Models Without Attention CVPR 2024 DiJiang: Efficient Large Language Models through Compact Kernelization ICML 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation AAAI 2024 DISCO: Distributed Inference With Sparse Communications WACV 2024 DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024 Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution ICML 2024 Disparate Impact on Group Accuracy of Linearization for Private Inference ICML 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Distilled Datamodel with Reverse Gradient Matching CVPR 2024 Distilling Knowledge from Large-Scale Image Models for Object Detection ECCV 2024 Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control ICML 2024 DistillSpec: Improving Speculative Decoding via Knowledge Distillation ICLR 2024 Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding ECCV 2024 DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models CVPR 2024 Ditto: Quantization-aware Secure Inference of Transformers upon MPC ICML 2024 Divergence-Guided Simultaneous Speech Translation AAAI 2024 Divergent Token Metrics: Measuring degradation to prune away LLM components – and optimize quantization NAACL 2024 Diversified Batch Selection for Training Acceleration ICML 2024