Rosanne Liu
14 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Academic Marathon (7) π Interdisciplinary Bridge π Conference Polyglot (7) π Renaissance Researcher (6)
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Renaissance Researcher
(6)
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Taxonomy Completionist
(41)
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Keyword Pioneer
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Topic Evolution
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Triple Crown
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The Questioner
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Trend Setter
ποΈ
Keyword Collector
(65)
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Century Club
(14)
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Conference Pioneer
Conferences
NIPS (5)
ICLR (3)
ICCV (2)
ACL (1)
EMNLP (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
deep reinforcement learning
(2)
convolutional neural network
(2)
neural network pruning
(2)
image generation
(2)
gradient-based optimization
(1)
continual learning
(1)
image classification
(1)
few-shot learning
(1)
lottery ticket hypothesis
(1)
neural network training
(1)
efficient inference
(1)
object detection
(1)
multilingual nlp
(1)
in-context learning
(1)
cross-lingual transfer
(1)
catastrophic forgetting
(1)
efficient computing
(1)
neural network visualization
(1)
model interpretability
(1)
representation learning
(1)
Papers
TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models
ICCV 2025
Extremely Simple Activation Shaping for Out-of-Distribution Detection
ICLR 2023
What Does a Platypus Look Like? Generating Customized Prompts for Zero-Shot Image Classification
ICCV 2023
Character-Aware Models Improve Visual Text Rendering
ACL 2023
Language Models are Few-shot Multilingual Learners
EMNLP 2021
Supermasks in Superposition
NIPS 2020
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
ICLR 2020
Estimating Q(s,sβ) with Deep Deterministic Dynamics Gradients
ICML 2020
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
IJCAI 2019
Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
NIPS 2019
LCA: Loss Change Allocation for Neural Network Training
NIPS 2019
Measuring the Intrinsic Dimension of Objective Landscapes
ICLR 2018
Faster Neural Networks Straight from JPEG
NIPS 2018
An intriguing failing of convolutional neural networks and the CoordConv solution
NIPS 2018