{"total":25,"rows":[{"id":"2101.11714","title":"TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models","created":"2021-01-25","cited_by_count":58,"area":null},{"id":"2109.15142","title":"Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems","created":"2021-09-30","cited_by_count":31,"area":null},{"id":"2106.02205","title":"Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators","created":"2021-06-04","cited_by_count":29,"area":null},{"id":"2205.10036","title":"Exploring Extreme Parameter Compression for Pre-trained Language Models","created":"2022-05-20","cited_by_count":15,"area":null},{"id":"2405.14377","title":"CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization","created":"2024-05-23","cited_by_count":15,"area":null},{"id":"2304.13539","title":"Tensor Decomposition for Model Reduction in Neural Networks: A Review","created":"2023-04-26","cited_by_count":14,"area":null},{"id":"2407.03179","title":"Motion meets Attention: Video Motion Prompts","created":"2024-07-03","cited_by_count":12,"area":null},{"id":"2109.02471","title":"Binary Code based Hash Embedding for Web-scale Applications","created":"2021-08-24","cited_by_count":11,"area":null},{"id":"2306.02697","title":"Efficient GPT Model Pre-training using Tensor Train Matrix Representation","created":"2023-06-05","cited_by_count":8,"area":null},{"id":"2206.11128","title":"tntorch: Tensor Network Learning with PyTorch","created":"2022-06-22","cited_by_count":7,"area":null},{"id":"2405.14159","title":"Super Tiny Language Models","created":"2024-05-23","cited_by_count":7,"area":null},{"id":"2206.10581","title":"Nimble GNN Embedding with Tensor-Train Decomposition","created":"2022-06-21","cited_by_count":6,"area":null},{"id":"2406.17441","title":"A Matrix Product State Model for Simultaneous Classification and Generation","created":"2024-06-25","cited_by_count":6,"area":null},{"id":"2401.16367","title":"TQCompressor: improving tensor decomposition methods in neural networks via permutations","created":"2024-01-29","cited_by_count":5,"area":null},{"id":"2410.03040","title":"Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models","created":"2024-10-03","cited_by_count":4,"area":null},{"id":"2105.06250","title":"3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration","created":"2021-05-11","cited_by_count":3,"area":null},{"id":"2301.08441","title":"Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem","created":"2023-01-20","cited_by_count":3,"area":null},{"id":"2603.28534","title":"Compressing Transformer Language Models via Matrix Product Operator Decomposition: A Case Study on PicoGPT","created":"2026-03-30","cited_by_count":3,"area":null},{"id":"2104.08677","title":"From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables","created":"2021-04-18","cited_by_count":2,"area":null},{"id":"2209.09098","title":"Deep tensor networks with matrix product operators","created":"2022-09-16","cited_by_count":2,"area":null},{"id":"2112.13551","title":"Learning Robust and Lightweight Model through Separable Structured Transformations","created":"2021-12-27","cited_by_count":0,"area":null},{"id":"2306.13724","title":"Review of compressed embedding layers and their applications for recommender systems","created":"2023-06-23","cited_by_count":0,"area":null},{"id":"2309.15881","title":"Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training","created":"2023-09-27","cited_by_count":0,"area":null},{"id":"2504.00520","title":"SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models","created":"2025-04-01","cited_by_count":0,"area":null},{"id":"2609.34292","title":"Pre-registered tests of solid-state-physics-inspired LLM compression: a cluster-level negative result at small-language-model scale","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}