Summary of Analyzing the Generalization and Reliability Of Steering Vectors, by Daniel Tan et al.
Analyzing the Generalization and Reliability of Steering Vectorsby Daniel Tan, David Chanin, Aengus Lynch, Dimitrios…
Summary of Utg: Towards a Unified View Of Snapshot and Event Based Models For Temporal Graphs, by Shenyang Huang et al.
UTG: Towards a Unified View of Snapshot and Event Based Models for Temporal Graphsby Shenyang…
Summary of When Can Transformers Compositionally Generalize In-context?, by Seijin Kobayashi et al.
When can transformers compositionally generalize in-context?by Seijin Kobayashi, Simon Schug, Yassir Akram, Florian Redhardt, Johannes…
Summary of Spectra: Surprising Effectiveness Of Pretraining Ternary Language Models at Scale, by Ayush Kaushal et al.
Spectra: Surprising Effectiveness of Pretraining Ternary Language Models at Scaleby Ayush Kaushal, Tejas Vaidhya, Arnab…
Summary of Tiled Bit Networks: Sub-bit Neural Network Compression Through Reuse Of Learnable Binary Vectors, by Matt Gorbett et al.
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectorsby Matt Gorbett,…
Summary of Enhancing Split Computing and Early Exit Applications Through Predefined Sparsity, by Luigi Capogrosso et al.
Enhancing Split Computing and Early Exit Applications through Predefined Sparsityby Luigi Capogrosso, Enrico Fraccaroli, Giulio…
Summary of Pipeinfer: Accelerating Llm Inference Using Asynchronous Pipelined Speculation, by Branden Butler et al.
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculationby Branden Butler, Sixing Yu, Arya Mazaheri, Ali…
Summary of Self-guided Generation Of Minority Samples Using Diffusion Models, by Soobin Um and Jong Chul Ye
Self-Guided Generation of Minority Samples Using Diffusion Modelsby Soobin Um, Jong Chul YeFirst submitted to…
Summary of Nitro-d: Native Integer-only Training Of Deep Convolutional Neural Networks, by Alberto Pirillo et al.
NITRO-D: Native Integer-only Training of Deep Convolutional Neural Networksby Alberto Pirillo, Luca Colombo, Manuel RoveriFirst…
Summary of Quantum Maximum Entropy Inference and Hamiltonian Learning, by Minbo Gao et al.
Quantum Maximum Entropy Inference and Hamiltonian Learningby Minbo Gao, Zhengfeng Ji, Fuchao WeiFirst submitted to…