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Tree-to-tree Neural Networks for Program Translation

Neural Information Processing Systems

Program translation isanimportant tool tomigrate legacycode inone language into an ecosystem built in a different language. In this work, we are the first to employ deep neural networks toward tackling this problem.


Disney accuses ByteDance of 'virtual smash-and-grab' when using copyrighted works to train its AI

Engadget

Samsung Galaxy Unpacked 2026 is Feb. 25 Valve's Steam Machine: Everything we know Even though ByteDance just released Seedance 2.0 on Thursday, it's already earned praise, but also indignation from Hollywood studios, when it comes to its AI-generating capabilities. With the strong early momentum, Seedance has already found itself in hot water with one of the largest media companies in the world. However, it's not the first time that Disney has threatened legal action against an AI company, since Character.AI received a cease-and-desist letter for the same offense in September. On the other hand, Disney partnered with OpenAI in a three-year licensing agreement that allows the AI giant to generate images and videos using that highly sought-after intellectual property. By subscribing, you are agreeing to Engadget's Terms and Privacy Policy .


REBEL: Reinforcement Learning via Regressing Relative Rewards Zhaolin Gao 1, Jonathan D. Chang

Neural Information Processing Systems

While originally developed for continuous control problems, Proximal Policy Optimization (PPO) has emerged as the work-horse of a variety of reinforcement learning (RL) applications, including the fine-tuning of generative models. Unfortunately, PPO requires multiple heuristics to enable stable convergence (e.g.





E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

Neural Information Processing Systems

Multimodal image fusion and object detection are crucial for autonomous driving. While current methods have advanced the fusion of texture details and semantic information, their complex training processes hinder broader applications. Addressing this challenge, we introduce E2E-MFD, a novel end-to-end algorithm for multimodal fusion detection.


Lipschitz regularity of deep neural networks: analysis and efficient estimation

Neural Information Processing Systems

Deep neural networks are notorious for being sensitive to small well-chosen perturbations, and estimating the regularity of such architectures is of utmost importance for safe and robust practical applications. In this paper, we investigate one of the key characteristics to assess the regularity of such methods: the Lipschitz constant of deep learning architectures.



OpenAI has officially retired the controversial GPT-4o model

Engadget

Samsung Galaxy Unpacked 2026 is Feb. 25 Valve's Steam Machine: Everything we know Some users are mourning GPT-4o's discontinuation on February 13, despite the concerns that the cult-favorite model was dangerously sycophantic. OpenAI's GPT-4o may have survived its first brush with going offline, but it won't be as lucky this time. OpenAI has officially retired GPT-4o, the ChatGPT model that was seen as more conversational and notoriously sycophantic, on February 13. The news of GPT-4o's end was first announced in a post on the OpenAI website in January, but the discontinuation also included GPT-5, GPT-4.1, However, a wave of user complaints led OpenAI to restore access to GPT-4o but with no guarantee that it'll be around forever.