← Authors

Joseph Gonzalez

24 papers · 2011–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ‘₯ Mega-Team (23) 🧬 Topic Evolution 🀝 Dynamic Duo (11) πŸ—ƒοΈ Keyword Collector (115) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (5)

Conferences

ICML (8) AISTATS (4) EMNLP (3) CVPR (2) ECCV (2) AAAI (1) CORL (1) NSDI (1) OSDI (1) RSS (1)

Top co-authors

Ion Stoica (11) Ken Goldberg (4) Paras Jain (4) Michael Jordan (4) Brijen Thananjeyan (3) Trevor Darrell (3) Kirthevasan Kandasamy (3) Jennifer Grannen (2) Xin Wang (2) Xiangxi Mo (2)

Research topics

Applications (2) Privacy (1) Education (1)

Keywords

model compression (4) multi-armed bandit (3) resource allocation (3) federated learning (2) cable untangling (2) online learning (2) sample efficiency (1) belief propagation (1) zero-shot learning (1) structured prediction (1) robotic manipulation (1) causal discovery (1) object detection (1) ai education (1) stochastic gradient descent (1) syntactic parsing (1) question answering (1) adversarial machine learning (1) semantic parsing (1) attention mechanism (1)

Papers

Model AI Assignments 2026 AAAI 2026
Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud NSDI 2024
Decomposing Complex Queries for Tip-of-the-tongue Retrieval EMNLP 2023
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback OSDI 2023
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback AISTATS 2022
Neurotoxin: Durable Backdoors in Federated Learning ICML 2022
On Guiding Visual Attention With Language Specification CVPR 2022
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly ECCV 2022
Context-Aware Streaming Perception in Dynamic Environments ECCV 2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ICML 2022
Making Linear MDPs Practical via Contrastive Representation Learning ICML 2022
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training ICML 2021
Contrastive Code Representation Learning EMNLP 2021
Grounded Graph Decoding improves Compositional Generalization in Question Answering EMNLP 2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies RSS 2021
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021
Untangling Dense Knots by Learning Task-Relevant Keypoints CORL 2020
Thompson Sampling for Linearly Constrained Bandits AISTATS 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020
Frustratingly Simple Few-Shot Object Detection ICML 2020
RLlib: Abstractions for Distributed Reinforcement Learning ICML 2018
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions CVPR 2018
Random projection design for scalable implicit smoothing of randomly observed stochastic processes AISTATS 2017
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees AISTATS 2011