Josh Susskind
5 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π Renaissance Researcher (5) π§ Keyword Pioneer π Conference Polyglot (3)
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Academic Marathon
(5)
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Cross-Pollinator
(10)
πΊοΈ
Taxonomy Completionist
(21)
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Trend Setter
Conferences
ICML (2)
NIPS (2)
CVPR (1)
Top co-authors
Research topics
Keywords
metric learning
(2)
3d reconstruction
(1)
few-shot learning
(1)
image generation
(1)
domain generalization
(1)
black-box optimization
(1)
transfer learning
(1)
image retrieval
(1)
object detection
(1)
knowledge distillation
(1)
prompt engineering
(1)
conditional generation
(1)
neural rendering
(1)
prompt learning
(1)
scene representation
(1)
loss landscape
(1)
metric optimization
(1)
diffusion model
(1)
latent representation
(1)
autoregressive model
(1)
Papers
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
NIPS 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NIPS 2024
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics
CVPR 2021
Equivariant Neural Rendering
ICML 2020
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
ICML 2019