Hugo Silva

3 papers · 2020–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

CVPR (1) JMLR (1) NeurIPS (1)

Top co-authors

Tadashi Kozuno (1) Di Niu (1) Michael Maire (1) Sungsu Lim (1) Martha White (1) A. Rupam Mahmood (1) Pedro Savarese (1) Alan Chan (1) Muhammad Kamran Janjua (1) Bahador Rashidi (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Core AI (2) Learning Types · Machine Learning (2) Deep Learning (1) Reinforcement Learning (1) Application Areas (1) Learning Types · Deep Learning (1) Methods (1) Optimization & Theory · Deep Learning (1) Optimization & Theory · Machine Learning (1)

Keywords

neural network pruning (1) lottery ticket hypothesis (1) reinforcement learning (1) policy optimization (1) kl divergence (1) policy improvement (1) approximate policy iteration (1) entropy regularization (1) sparse training (1) multimodal language model (1) sparse network (1) boltzmann distribution (1) multi-view reasoning (1) relative depth (1) continuous sparsification (1) visual tool reasoning (1) perception program (1)

Papers

Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs CVPR 2026 Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences JMLR 2022 Winning the Lottery with Continuous Sparsification NeurIPS 2020