2024 Poster "parameter efficiency" Papers

8 papers found

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Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation

Can Yaras, Peng Wang, Laura Balzano et al.

ICML 2024poster

Data-free Neural Representation Compression with Riemannian Neural Dynamics

Zhengqi Pei, Anran Zhang, Shuhui Wang et al.

ICML 2024poster

Flora: Low-Rank Adapters Are Secretly Gradient Compressors

Yongchang Hao, Yanshuai Cao, Lili Mou

ICML 2024poster

Image-adaptive 3D Lookup Tables for Real-time Image Enhancement with Bilateral Grids

Wontae Kim, Nam Ik Cho

ECCV 2024poster
7
citations

In value-based deep reinforcement learning, a pruned network is a good network

Johan Obando Ceron, Aaron Courville, Pablo Samuel Castro

ICML 2024poster

KernelWarehouse: Rethinking the Design of Dynamic Convolution

Chao Li, Anbang Yao

ICML 2024poster

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions

Kai Zhang, Yi Luan, Hexiang Hu et al.

ICML 2024poster

SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks

Jiwon Song, Kyungseok Oh, Taesu Kim et al.

ICML 2024poster