memory footprint

Mohabi: Disaggregating and Sandboxing the Firefox JavaScript Engine OSDI 2026 Adam-mini: Use Fewer Learning Rates To Gain More ICLR 2025 Optimizing Trajectory Matching Distillation via Parameter Difference-Driven Pruning ACML 2025 QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration ICML 2025 Activation Map Compression through Tensor Decomposition for Deep Learning NeurIPS 2024 Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs ICLR 2024 Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings ICLR 2024 QTIP: Quantization with Trellises and Incoherence Processing NeurIPS 2024 Resource-Efficient Neural Networks for Embedded Systems JMLR 2024 Stepping Forward on the Last Mile NeurIPS 2024 TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge ICML 2024 Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction ICML 2023 Mem-Rec: Memory Efficient Recommendation System using Alternative Representation ACML 2023 MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions ICCV 2023 Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention EMNLP 2023 8-bit Optimizers via Block-wise Quantization ICLR 2022 Small Footprint Neural Networks for Acoustic Direction of Arrival Estimation Interspeech 2022 Memory Optimization for Deep Networks ICLR 2021 Understanding and Overcoming the Challenges of Efficient Transformer Quantization EMNLP 2021 ASAP: Architecture Search, Anneal and Prune AISTATS 2020 Masking as an Efficient Alternative to Finetuning for Pretrained Language Models EMNLP 2020 Online MAP Inference of Determinantal Point Processes NeurIPS 2020 Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions WACV 2020 Adaptive Attention Span in Transformers ACL 2019 Near-Lossless Binarization of Word Embeddings AAAI 2019