影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
50.32/100
前 8.4%
全站排名 #5,427
发表论文7 篇
平均评分
年均产出3.5 篇/年
Tijmen Blankevoort
研究方向
Neural architecture search · Quantization · Deep Learning · Continual Learning · Compression · Pruning · Conditional computing
15
ParetoQ: Improving Scaling Laws in Extremely Low-bit LLM Quantization
NeurIPS 2025Poster
20
Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs
ICLR 2025Rejected
二作29
Elastic ViTs from Pretrained Models without Retraining
NeurIPS 2025Poster
三作36
SpinQuant: LLM Quantization with Learned Rotations
ICLR 2025Poster
通讯