Summary of Link Representation Learning For Probabilistic Travel Time Estimation, by Chen Xu et al.
Link Representation Learning for Probabilistic Travel Time Estimationby Chen Xu, Qiang Wang, Lijun SunFirst submitted…
Link Representation Learning for Probabilistic Travel Time Estimationby Chen Xu, Qiang Wang, Lijun SunFirst submitted…
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagationby Yuchen Yang, Yingdong Shi, Cheems Wang,…
HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantizationby Seonggon Kim, Eunhyeok ParkFirst submitted to…
BoA: Attention-aware Post-training Quantization without Backpropagationby Junhan Kim, Ho-young Kim, Eulrang Cho, Chungman Lee, Joonyoung…
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Modelsby Jian Gu, Aldeida Aleti, Chunyang…
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Modelsby Yibin Wang, Haizhou Shi, Ligong…
Grad-Instructor: Universal Backpropagation with Explainable Evaluation Neural Networks for Meta-learning and AutoMLby Ryohei InoFirst submitted…
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Eraby Matteo…
TextGrad: Automatic “Differentiation” via Textby Mert Yuksekgonul, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang,…
Highway Value Iteration Networksby Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen SchmidhuberFirst submitted…