---
title: "Richard S. Zemel — all 215 works in our library, page 2"
description: "All 215 works of Richard S. Zemel in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Richard S. Zemel — all works

215 works · page 2 of 3 · 101–200 · [← Richard S. Zemel](https://md.research.elamur.ai/free/en/authors/richard-s-zemel/)

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101. **[Flexible Priors for Exemplar-based Clustering ↗](https://arxiv.org/abs/1206.3294) arXiv (Cornell University) · no summary yet**Daniel Tarlow, Richard S. Zemel, Brendan J. Frey*2012 · 21 citations*
102. **[The steerability of large language models toward data-driven personas ↗](https://aclanthology.org/2024.naacl-long.405/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Junyi Li et al.*2024 · 20 citations*
103. **[Causal Modeling for Fairness in Dynamical Systems ↗](https://arxiv.org/abs/1909.09141) arXiv (Cornell University) · no summary yet**Elliot Creager et al.*2019 · 20 citations*
104. **[Learning unbiased features ↗](https://arxiv.org/abs/1412.5244) arXiv (Cornell University) · no summary yet**Yujia Li, Kevin Swersky, Richard S. Zemel*2014 · 20 citations*
105. **[SMILe: Scalable Meta Inverse Reinforcement Learning through Context-Conditional Policies ↗](https://openalex.org/W2971218263) neural information processing systems · no summary yet**Seyed Kamyar Seyed Ghasemipour, Shixiang Gu, Richard S. Zemel*2019 · 19 citations*
106. **[Joint Embeddings of Scene Graphs and Images ↗](https://lirias.kuleuven.be/handle/123456789/581155) Lirias · no summary yet**Eugene Belilovsky et al.*2017 · 19 citations*
107. **[Cortical Belief Networks ↗](https://doi.org/10.1007/978-1-4471-0085-0_10) Springer eBooks · no summary yet**Richard S. Zemel*2003 · 19 citations*
108. **[On the steerability of large language models toward data-driven personas ↗](https://arxiv.org/abs/2311.04978) arXiv (Cornell University) · no summary yet**Junyi Li et al.*2023 · 18 citations*
109. **[Semantically Informed Slang Interpretation ↗](https://aclanthology.org/2022.naacl-main.383/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Zhewei Sun, Richard Zemel, Yang Xu*2022 · 18 citations*
110. **[Learning stick-figure models using nonparametric Bayesian priors over trees ↗](https://doi.org/10.1109/cvpr.2008.4587559) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Edward Meeds et al.*2008 · 18 citations*
111. **[Unsupervised Learning of Skeletons from Motion ↗](https://doi.org/10.1007/978-3-540-88690-7_42) Lecture notes in computer science · no summary yet**David A. Ross, Daniel Tarlow, Richard S. Zemel*2008 · 18 citations*
112. **[Unsupervised Learning with Non-Ignorable Missing Data. ↗](https://openalex.org/W2398915477) International Conference on Artificial Intelligence and Statistics · no summary yet**Benjamin M. Marlin, Sam T. Roweis, Richard S. Zemel*2005 · 18 citations*
113. **[Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies ↗](https://aclanthology.org/2024.findings-naacl.113/) Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yet**Anaelia Ovalle et al.*2024 · 17 citations*
114. **[Learning a Universal Template for Few-shot Dataset Generalization ↗](https://arxiv.org/abs/2105.07029) arXiv (Cornell University) · no summary yet**Eleni Triantafillou et al.*2021 · 17 citations*
115. **[Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification ↗](https://arxiv.org/abs/2011.06485) arXiv (Cornell University) · no summary yet**Robert Adragna et al.*2020 · 17 citations*
116. **[Wandering Within a World: Online Contextualized Few-Shot Learning ↗](https://arxiv.org/abs/2007.04546) arXiv (Cornell University) · no summary yet**Mengye Ren et al.*2020 · 17 citations*
117. **[Neural Guided Constraint Logic Programming for Program Synthesis ↗](https://arxiv.org/abs/1809.02840) arXiv (Cornell University) · no summary yet**Lisa Zhang et al.*2018 · 17 citations*
118. **[Graph cuts is a max-product algorithm ↗](https://openalex.org/W2403968605) no summary yet**Daniel Tarlow et al.*2011 · 17 citations*
119. **[Learning population coes by minimizing description length ↗](https://openalex.org/W2290658005) no summary yet**Richard S. Zemel, Geoffrey E. Hinton*1999 · 17 citations*
120. **[Reliable disparity estimation through selective integration ↗](https://doi.org/10.1017/s0952523898153129) Visual Neuroscience · no summary yet**Michael S. Gray et al.*1998 · 17 citations*
121. **[Resolving Ambiguities in Text-to-Image Generative Models ↗](https://aclanthology.org/2023.acl-long.804/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ninareh Mehrabi et al.*2023 · 16 citations*
122. **[Combining discriminative features to infer complex trajectories ↗](https://doi.org/10.1145/1143844.1143940) International Conference on Machine Learning · no summary yet**David A. Ross, Simon Osindero, Richard S. Zemel*2006 · 16 citations*
123. **[Occlusion, symmetry, and object-based attention: Reply to Saiki (2000). ↗](https://doi.org/10.1037//0096-1523.26.4.1497) Journal of Experimental Psychology Human Perception & Performance · no summary yet**Marlene Behrmann, Richard S. Zemel, Michael C. Mozer*2000 · 16 citations*
124. **[Understanding the Limitations of Conditional Generative Models ↗](https://arxiv.org/abs/1906.01171) arXiv (Cornell University) · no summary yet**Ethan Fetaya et al.*2019 · 15 citations*
125. **[CRF framework for supervised preference aggregation ↗](https://doi.org/10.1145/2505515.2505713) Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yet**Maksims Volkovs, Richard S. Zemel*2013 · 15 citations*
126. **[Efficient Multiple Instance Metric Learning Using Weakly Supervised Data ↗](https://doi.org/10.1109/cvpr.2017.630) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Marc T. Law et al.*2017 · 14 citations*
127. **[Towards Generalizable Sentence Embeddings ↗](https://aclanthology.org/W16-1628/) Proceedings of the 1st Workshop on Representation Learning for NLP · no summary yet**Eleni Triantafillou et al.*2016 · 14 citations*
128. **[Directional-Unit Boltzmann Machines ↗](https://openalex.org/W2095801082) neural information processing systems · no summary yet**Richard S. Zemel, Christopher K. I. Williams, Michael C. Mozer*1992 · 14 citations*
129. **[Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes ↗](https://arxiv.org/abs/2104.11044) arXiv (Cornell University) · no summary yet**James Lucas et al.*2021 · 13 citations*
130. **[Latent topic random fields: Learning using a taxonomy of labels ↗](https://doi.org/10.1109/cvpr.2008.4587362) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xuming He, Richard S. Zemel*2008 · 13 citations*
131. **[Combining probabilistic population codes ↗](https://openalex.org/W24886684) no summary yet**Richard S. Zemel, Peter Dayan*1997 · 13 citations*
132. **[Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach ↗](https://arxiv.org/abs/2008.00104) arXiv (Cornell University) · no summary yet**Martin Mladenov et al.*2020 · 12 citations*
133. **[A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks ↗](https://arxiv.org/abs/2012.07690) arXiv (Cornell University) · no summary yet**Renjie Liao, Raquel Urtasun, Richard S. Zemel*2020 · 11 citations*
134. **[Aggregated Momentum: Stability Through Passive Damping ↗](https://arxiv.org/abs/1804.00325) arXiv (Cornell University) · no summary yet**James Lucas et al.*2018 · 10 citations*
135. **[Probabilistic Sequential Independent Components Analysis ↗](https://doi.org/10.1109/tnn.2004.828765) IEEE Transactions on Neural Networks · no summary yet**Max Welling, Richard S. Zemel, Geoffrey E. Hinton*2004 · 10 citations*
136. **[Slang Generation as Categorization. ↗](https://openalex.org/W2978800762) eScholarship (California Digital Library) · no summary yet**Zhewei Sun, Richard S. Zemel, Yang Xu*2019 · 9 citations*
137. **[Gradient-based Optimization of Neural Network Architecture. ↗](https://openalex.org/W2907134525) International Conference on Learning Representations · no summary yet**Will Grathwohl et al.*2018 · 9 citations*
138. **[Dimensionality Reduction for Representing the Knowledge of Probabilistic Models ↗](https://openalex.org/W2916128154) International Conference on Learning Representations · no summary yet**Marc T. Law et al.*2018 · 9 citations*
139. **[Exchanging Lessons Between Algorithmic Fairness and Domain Generalization ↗](https://openreview.net/pdf?id=DC1Im3MkGG) arXiv (Cornell University) · no summary yet**Elliot Creager, Joern-Henrik Jacobsen, Richard S. Zemel*2021 · 8 citations*
140. **[Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes ↗](https://arxiv.org/abs/2007.10417) arXiv (Cornell University) · no summary yet**Jake Snell, Richard S. Zemel*2020 · 8 citations*
141. **[Leveraging user libraries to bootstrap collaborative filtering ↗](https://doi.org/10.1145/2623330.2623663) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Laurent Charlin, Richard S. Zemel, Hugo Larochelle*2014 · 8 citations*
142. **[On the Expressive Power of Restricted Boltzmann Machines. ↗](https://openalex.org/W2235935298) neural information processing systems · no summary yet**James Martens et al.*2013 · 8 citations*
143. **[Encoding multiple orientations in a recurrent network ↗](https://doi.org/10.1016/s0925-2312(00)00222-8) Neurocomputing · no summary yet**Richard S. Zemel, Jonathan W. Pillow*2000 · 8 citations*
144. **[Efficient Sampling for Bipartite Matching Problems ↗](https://openalex.org/W2156368963) no summary yet**Maksims Volkovs, Richard S. Zemel*2012 · 7 citations*
145. **[Loss-sensitive Training of Probabilistic Conditional Random Fields ↗](https://arxiv.org/abs/1107.1805) arXiv (Cornell University) · no summary yet**Maksims Volkovs, Hugo Larochelle, Richard S. Zemel*2011 · 7 citations*
146. **[Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models ↗](https://arxiv.org/abs/2311.13628) arXiv (Cornell University) · no summary yet**Thomas P. Zollo et al.*2023 · 6 citations*
147. **[Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. ↗](https://openalex.org/W2903153676) International Conference on Learning Representations · no summary yet**Lisa Zhang et al.*2018 · 6 citations*
148. **[Online Queries for Collaborative Filtering ↗](https://openalex.org/W44932258) no summary yet**Craig E. Boutilier, Richard S. Zemel*2010 · 6 citations*
149. **[Population Coding with Motion Energy Filters: The Impact of Correlations ↗](https://doi.org/10.1162/neco.2008.20.1.146) Neural Computation · no summary yet**François Klam, Richard S. Zemel, Alexandre Pouget*2007 · 6 citations*
150. **[Minimizing Description Length in an Unsupervised Neural Network ↗](https://openalex.org/W86811130) no summary yet**Geo rey E. Hinton, Richard S. Zemel*2000 · 6 citations*
151. **[Minimum description length analysis ↗](https://openalex.org/W65316852) no summary yet**Richard S. Zemel*1998 · 6 citations*
152. **[Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities ↗](https://aclanthology.org/2024.emnlp-main.1117/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sachit Menon, Richard Zemel, Carl Vondrick*2024 · 5 citations*
153. **[Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions ↗](https://arxiv.org/abs/2212.13629) arXiv (Cornell University) · no summary yet**Jake C. Snell et al.*2022 · 5 citations*
154. **[SketchEmbedNet: Learning Novel Concepts by Imitating Drawings ↗](https://openalex.org/W3169494070) International Conference on Machine Learning · no summary yet**Alexander Wang, Mengye Ren, Richard S. Zemel*2021 · 5 citations*
155. **[Understanding the Relation Between Maximum-Entropy Inverse Reinforcement Learning and Behaviour Cloning. ↗](https://openalex.org/W2964469479) International Conference on Learning Representations · no summary yet**Seyed Kamyar Seyed Ghasemipour, Shane Gu, Richard S. Zemel*2019 · 5 citations*
156. **[Efficient Parametric Projection Pursuit Density Estimation ↗](https://arxiv.org/abs/1212.2513) arXiv (Cornell University) · no summary yet**Max Welling, Richard S. Zemel, Geoffrey E. Hinton*2012 · 5 citations*
157. **[Towards Effective Discrimination Testing for Generative AI ↗](https://doi.org/10.1145/3715275.3732067) ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yet**Thomas P. Zollo et al.*2025 · 4 citations*
158. **[JAB: Joint Adversarial Prompting and Belief Augmentation ↗](https://arxiv.org/abs/2311.09473) arXiv (Cornell University) · no summary yet**Ninareh Mehrabi et al.*2023 · 4 citations*
159. **[An Active Approach to Collaborative Filtering. ↗](https://openalex.org/W2407523458) International Conference on Artificial Intelligence and Statistics · no summary yet**Richard S. Zemel, Craig E. Boutilier*2003 · 4 citations*
160. **[Managing Uncertainty in Cue Combination ↗](https://openalex.org/W2114349498) no summary yet**Zhiyong Yang, Richard S. Zemel*1999 · 4 citations*
161. **[Grouping Components of Three-Dimensional Moving Objects in Area MST of Visual Cortex ↗](https://openalex.org/W2154283681) neural information processing systems · no summary yet**Richard S. Zemel, Terrence J. Sejnowski*1994 · 4 citations*
162. **[Unsupervised learning of object models ↗](https://openalex.org/W98274915) no summary yet**Christopher Williams, Richard S. Zemel, Michael C. Mozer*1993 · 4 citations*
163. **[Guiding LLM Decision-Making with Fairness Reward Models ↗](https://doi.org/10.52202/085713-4867) neural information processing systems · no summary yet**Zara Hall et al.*2025 · 3 citations*
164. **[Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification ↗](https://aclanthology.org/2024.findings-emnlp.779/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Tao Meng et al.*2024 · 3 citations*
165. **[ICL Markup: Structuring In-Context Learning using Soft-Token Tags ↗](https://arxiv.org/abs/2312.07405) arXiv (Cornell University) · no summary yet**Marc-Etienne Brunet, Ashton Anderson, Richard S. Zemel*2023 · 3 citations*
166. **[Theoretical bounds on estimation error for meta-learning ↗](https://arxiv.org/abs/2010.07140) arXiv (Cornell University) · no summary yet**James Lucas et al.*2020 · 3 citations*
167. **[Out-of-distribution Detection in Few-shot Classification ↗](https://openalex.org/W3005120162) no summary yet**Kuan-Chieh Wang et al.*2019 · 3 citations*
168. **[Dynamic Cue Combination in Distributional Population Code Networks ↗](https://doi.org/10.1093/acprof:oso/9780195387247.003.0020) Oxford University Press eBooks · no summary yet**Rama D Natarajan, Richard S. Zemel*2011 · 3 citations*
169. **[Interpreting Graph Cuts as a Max-Product Algorithm ↗](https://arxiv.org/abs/1105.1178) arXiv (Cornell University) · no summary yet**Daniel Tarlow et al.*2011 · 3 citations*
170. **[Learning Articulated Skeletons from Motion ↗](https://openalex.org/W2529268278) no summary yet**David A. Ross, Daniel Tarlow, Richard S. Zemel*2007 · 3 citations*
171. **[Learning Population Codes by Minimizing Description Length ↗](https://doi.org/10.7551/mitpress/7011.003.0016) The MIT Press eBooks · no summary yet**Richard S. Zemel, Geoffrey E. Hinton*1999 · 3 citations*
172. **[Adaptive Elicitation of Latent Information Using Natural Language ↗](https://arxiv.org/abs/2504.04204) arXiv (Cornell University) · no summary yet**Wang, Jimmy et al.*2025 · 2 citations*
173. **[Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation ↗](https://aclanthology.org/2025.findings-acl.1166/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Tharindu Kumarage et al.*2025 · 2 citations*
174. **[Training-free Deep Concept Injection Enables Language Models for Video Question Answering ↗](https://aclanthology.org/2024.emnlp-main.1249/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xudong Lin et al.*2024 · 2 citations*
175. **[Controlling the World by Sleight of Hand ↗](https://doi.org/10.1007/978-3-031-73404-5_24) Lecture notes in computer science · no summary yet**Sruthi Sudhakar et al.*2024 · 2 citations*
176. **[Improving Predictor Reliability with Selective Recalibration ↗](https://arxiv.org/abs/2410.05407) arXiv (Cornell University) · no summary yet**Thomas P. Zollo et al.*2024 · 2 citations*
177. **[SurfsUp: Learning Fluid Simulation for Novel Surfaces ↗](https://doi.org/10.1109/iccv51070.2023.01308) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Arjun Mani et al.*2023 · 2 citations*
178. **[Lorentzian Distance Learning ↗](https://openalex.org/W2914557915) no summary yet**Marc T. Law, Jake Snell, Richard S. Zemel*2018 · 2 citations*
179. **[Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data ↗](https://arxiv.org/abs/1809.02519) arXiv (Cornell University) · no summary yet**David Madras et al.*2018 · 2 citations*
180. **[A Generative Model for Attractor Dynamics ↗](https://openalex.org/W2103041741) neural information processing systems · no summary yet**Richard S. Zemel, Michael C. Mozer*1999 · 2 citations*
181. **[Learning to Segment Images Using Dynamic Feature Binding ; CU-CS-540-91 ↗](https://openalex.org/W2344771774) CU Scholar (University of Colorado Boulder) · no summary yet**Michael C. Mozer, Richard S. Zemel, Marlene Behrmann*1991 · 2 citations*
182. **[Integrating Present and Past in Unsupervised Continual Learning ↗](https://arxiv.org/abs/2404.19132) arXiv (Cornell University) · no summary yet**Yipeng Zhang et al.*2024 · 1 citation*
183. **[Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift ↗](https://arxiv.org/abs/2312.17463) arXiv (Cornell University) · no summary yet**Benjamin Eyre et al.*2023 · 1 citation*
184. **[Coordinated Replay Sample Selection for Continual Federated Learning ↗](https://aclanthology.org/2023.emnlp-industry.32/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yet**Jack Good et al.*2023 · 1 citation*
185. **[Disentanglement and Generalization Under Correlation Shifts ↗](https://arxiv.org/abs/2112.14754) arXiv (Cornell University) · no summary yet**Christina M. Funke et al.*2021 · 1 citation*
186. **[On Monotonic Linear Interpolation of Neural Network Parameters ↗](https://openalex.org/W3172058676) International Conference on Machine Learning · no summary yet**James Lucas et al.*2021 · 1 citation*
187. **[Learning Flexible Classifiers with Shot-CONditional Episodic (SCONE) Training ↗](https://openalex.org/W3130953092) no summary yet**Eleni Triantafillou et al.*2021 · 1 citation*
188. **[Unintended cue learning: Lessons for deep learning from experimental psychology ↗](https://doi.org/10.1167/jov.20.11.652) Journal of Vision · no summary yet**Robert Geirhos et al.*2020 · 1 citation*
189. **[Dualing GANs ↗](https://arxiv.org/abs/1706.06216) arXiv (Cornell University) · no summary yet**Yujia Li et al.*2017 · 1 citation*
190. **[Stochastic Segmentation Trees for Multiple Ground Truths. ↗](https://openalex.org/W2774018923) Uncertainty in Artificial Intelligence · no summary yet**Jake Snell, Richard S. Zemel*2017 · 1 citation*
191. **[Population Codes ↗](https://doi.org/10.7551/mitpress/1535.003.0011) The MIT Press eBooks · no summary yet**Alexandre Pouget, Richard S. Zemel*2006 · 1 citation*
192. **[Schemex: Discovering Structural Abstractions from Examples ↗](https://doi.org/10.1145/3834580.3838742) arXiv:2504.11795 · no summary yet**Sitong Wang et al.*2026*
193. **[QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions ↗](https://arxiv.org/abs/2507.05220) arXiv (Cornell University) · no summary yet**Zhun Deng et al.*2025*
194. **[Replay Can Provably Increase Forgetting ↗](https://arxiv.org/abs/2506.04377) arXiv (Cornell University) · no summary yet**Yasaman Mahdaviyeh et al.*2025*
195. **[Let the Experts Speak: Improving Survival Prediction & Calibration via Mixture-of-Experts Heads ↗](https://arxiv.org/abs/2511.09567) arXiv (Cornell University) · no summary yet**Todd Morrill et al.*2025*
196. **[Test-Time Warmup for Multimodal Large Language Models ↗](https://arxiv.org/abs/2509.10641) arXiv (Cornell University) · no summary yet**Nikita Rajaneesh, Thomas P. Zollo, Richard S. Zemel*2025*
197. **[Confidence Calibration in Vision-Language-Action Models ↗](https://arxiv.org/abs/2507.17383) arXiv (Cornell University) · no summary yet**Thomas P. Zollo, Richard S. Zemel*2025*
198. **[Partial Federated Learning ↗](https://arxiv.org/abs/2403.01615) arXiv (Cornell University) · no summary yet**Tiantian Feng et al.*2024*
199. **[Online Algorithmic Recourse by Collective Action ↗](https://arxiv.org/abs/2401.00055) arXiv (Cornell University) · no summary yet**Elliot Creager, Richard S. Zemel*2023*
200. **[Incorporating Fairness in Large Scale NLU Systems ↗](https://doi.org/10.1145/3539597.3575785) no summary yet**Rahul Gupta et al.*2023*

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