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No more than 3 speakers for "significance" slots. No more than 2 speakers for "areas of improvement" slots.
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Presenter 1 (andrewid)Presenter 2 (andrewid)Presenter 3 (andrewid)
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1/29Architecture for Sequence Modeling
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Memory Networks Significancetianyirzeqijjdou2
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Areas for improvementneerajrtjunjeto
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WaveNet: A Generative Model for Raw AudioSignificanceMingyuhujdalviemuchnik
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Areas for improvementlicaofurix
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Transformer-XL: Attentive Language Models Beyond a Fixed-Length ContextSignificanceekminshiaozehong
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Areas for improvementJiaxinglsgshah
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2/10Improving the Stability of Training GANs
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Improved Training of Wasserstein GANsSignificanceSarahalhYinyilyenruc
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Areas for improvementhgokhalepanantar
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Spectral Normalization for Generative Adversarial NetworksSignificancearnavmenhangjungrtafresh
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Areas for improvementrsamantamayursri
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Training Generative Adversarial Networks with Limited DataSignificancexuhebaihongylaijiang
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Areas for improvementhaowang4rsonawan
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3/17Hybrid Deep Generative Models
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Taming Transformers for High-Resolution Image Synthesis (VAE + GAN + Autoregressive)Significancegmliujohnzhanxlikeer
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Areas for improvementvbhagavammanzhos
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PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows (VAE + Normalizing Flows)Significancejielingyjiachunxxutaoc
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Areas for improvementkaustabplyuxingh
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Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion (Autoregressive + Diffusion)Significancevdurhampguruprajiaqison
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Areas for improvementjkp2
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