影响力指数

48.56/100

前 9.3%

全站排名 #5,983

发表论文14 篇

平均评分5.1

年均产出4.7 篇/年

Richard Zemel

Full Professor@Department of Computer Science, Columbia University·美国·OpenReview

研究方向

continual learning · memory models · representation learning · fairness · uncertainty quantification

Confidence Calibration in Vision-Language-Action Models

ICLR 2026Rejected

Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning

ICLR 2026Rejected

Improving Few-Shot Design Optimization By Exploiting Auxiliary Information

ICLR 2026Rejected

Guiding LLM Decision-Making with Fairness Reward Models

NeurIPS 2025Poster

Adaptive Elicitation of Latent Information Using Natural Language

ICML 2025Poster

Towards Effective Discrimination Testing for Generative AI

ICLR 2025Rejected

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions

ICML 2025Poster

Masked VAE: Distributionally-Informed Self-Supervised Vision Learning

ICLR 2025Withdrawn

Replay can provably increase forgetting

ICLR 2025Withdrawn

合作者 (20)

Toniann Pitassi