DetectGPT – an approach for zero-shot machine-generated text detection. Uses raw log probabilities from the LLM to determine if the passage was sampled from it. 8 of 11
@dair_ai
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Open Problems in Applied Deep Learning Reference
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Open Problems in Applied Deep Learning – a new reference to learn about interesting open problems in deep learning. 7 of 11
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ClimaX Foundation Model Advances Weather Climate Science
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ClimaX – a foundation model for weather and climate, including many capabilities for atmospheric science tasks. 6 of 11
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Make-A-Video3D: New Text-to-4D Model for Dynamic Scene Generation
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Make-A-Video3D – a new text-to-4D model for dynamic scene generation from input text.
— DAIR.AI (@dair_ai) 29 janvier 2023
5 of 11https://t.co/V56rEVVGYVMake-A-Video3D – a new text-to-4D model for dynamic scene generation from input text. 5 of 11
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Watermarking Framework for Proprietary Language Models
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A Watermark for LLMs – a watermarking framework for proprietary language models. 4 of 11
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H3: Bridging Performance Gap Between State Space Models and Attention
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H3 – an approach to reduce the gap, in terms of performance and hardware utilization, between state space models and attention for language modeling. 3 of 11
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Generative Modeling for Time Series Forecasting with Diffusion VAE
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This work addresses the time series forecasting problem with generative modeling; involves a bidirectional VAE backbone equipped with diffusion, denoising for prediction accuracy, and disentanglement for model interpretability. 11 of 11
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Top trending ML papers from last week
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Follow us @dair_ai for upcoming top trending ML papers of the week. ICYMI, here is the list of ML papers from last week:
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DeepMatcher: Transformer Network Achieves State-of-the-Art Feature Matching
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DeepMatcher is a transformer-based network showing robust local feature matching, outperforming the state-of-the-art methods on several benchmarks. 10 of 11
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Transformers in Reinforcement Learning: A Comprehensive Survey
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A Survey on Transformers in Reinforcement Learning 8 of 11