[ICLR 2024] Compression of Neural Networks Research Trends

The blog post from LG AI Research presents two research papers on neural network compression presented at ICLR 2024: LESS, which combines filter pruning and low-rank decomposition for vision tasks, and SHEARED LLAMA, which applies structured pruning to LLMs.

From the source
This blog post will introduce the papers presented by LG AI Research at ICLR 2024, and take a look at two studies on compression: one for image tasks and one LLM tasks.
lgresearch.ai

Visit source ↗lgresearch.ai

Announced: 10 Jun 2024 00:00 UTC
Detected: 28 Aug 2026 22:20 UTC (+809d after)

Other stories

Google Research · 27 AugPlanetary prediction engine: Automating global models via Earth AIResearch paper

OpenAI · 27 AugBetter answers, broader thinking: What students gain from ChatGPT and critical-thinking trainingResearch paper

LG AI Research · 27 Aug[ACL 2026] ReSQL: A Self-Improving Text-to-SQL Framework through Retrieval-Augmented Error ReasoningResearch paper

xAI · 29 Aug

Grok Bot now works with X

Capability change

GitHub · 28 AugGitHub Copilot in Visual Studio — August update

GitHub · 28 AugGitHub Copilot weekly releases — August 24Capability change