Joshua Susskind
11 papers · 2017–2025 · 4 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Collector
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Century Club · Bronze
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Deep Learning
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Machine Learning
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Models
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Architectures
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Artificial Intelligence
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Computer Vision
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Core AI
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Generation
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Optimization & Theory · Deep Learning
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Optimization & Theory · Machine Learning
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Analysis
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Keywords
generative adversarial network
(2)
neural network
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foundation model
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multimodal learning
(2)
image generation
(1)
domain adaptation
(1)
neural tangent kernel
(1)
video generation
(1)
feature learning
(1)
self-supervised learning
(1)
text generation
(1)
autoregressive generation
(1)
feature extraction
(1)
3d vision
(1)
adversarial training
(1)
image synthesis
(1)
neural network optimization
(1)
neural architecture
(1)
unsupervised representation learning
(1)
ensemble learning
(1)
Papers
Multimodal Autoregressive Pre-training of Large Vision Encoders
CVPR 2025
Scaling Laws for Native Multimodal Models
ICCV 2025
World-consistent Video Diffusion with Explicit 3D Modeling
CVPR 2025
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models
ECCV 2024
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
NeurIPS 2024
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
NeurIPS 2023
Transformers learn through gradual rank increase
NeurIPS 2023
GAUDI: A Neural Architect for Immersive 3D Scene Generation
NeurIPS 2022
Collegial Ensembles
NeurIPS 2020
Adversarial Fisher Vectors for Unsupervised Representation Learning
NeurIPS 2019
Learning From Simulated and Unsupervised Images Through Adversarial Training
CVPR 2017