✨Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data

📝 Summary:
Federated learning sample selection methods using multitask autoencoders, outlier detection techniques, and deep support vector data description enhance model accuracy under non-IID and noisy conditio...

🔹 Publication Date: Published on Apr 28

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.26116
• PDF: https://arxiv.org/pdf/2604.26116
• Project Page: https://github.com/eardic/FL_DPQS

==================================

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#AI #DataScience #MachineLearning #HuggingFace #Research

✨Synthetic Computers at Scale for Long-Horizon Productivity Simulation

📝 Summary:
Synthetic Computers at Scale creates realistic computer environments with folders and content. This enables long-horizon productivity simulations for AI agents, improving their performance through experiential learning and scalable self-improvement.

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.28181
• PDF: https://arxiv.org/pdf/2604.28181
• Project Page: https://huggingface.co/datasets/microsoft/synthetic-computers-at-scale

==================================

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✨Heterogeneous Scientific Foundation Model Collaboration

📝 Summary:
Eywa is a heterogeneous agentic framework that extends language-centric systems to scientific foundation models by integrating domain-specific models with language-based reasoning interfaces for impro...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.27351
• PDF: https://arxiv.org/pdf/2604.27351
• Project Page: https://www.zihao.website/eywa.github.io/
• Github: https://www.zihao.website/eywa.github.io/

==================================

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✨Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

📝 Summary:
Visual generation models need to advance beyond appearance synthesis to incorporate structural, dynamic, and causal understanding through a five-level taxonomy spanning from atomic to world-modeling g...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.28185
• PDF: https://arxiv.org/pdf/2604.28185

==================================

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✨Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

📝 Summary:
Intern-Atlas presents a methodological evolution graph that captures structured relationships between research methods across AI literature, enabling automated tracking of methodological development a...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.28158
• PDF: https://arxiv.org/pdf/2604.28158
• Project Page: https://intern-atlas.opendatalab.org.cn/

==================================

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✨Representation Fréchet Loss for Visual Generation

📝 Summary:
Fréchet Distance can be effectively optimized as a training objective when decoupling population size from batch size, leading to improved generator quality and alternative evaluation metrics. AI-gene...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.28190
• PDF: https://arxiv.org/pdf/2604.28190
• Github: https://github.com/Jiawei-Yang/FD-Loss

🔹 Models citing this paper:
• https://huggingface.co/jjiaweiyang/FD-Loss

==================================

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✨World2Minecraft: Occupancy-Driven Simulated Scenes Construction

📝 Summary:
World2Minecraft converts real-world scenes into structured Minecraft environments using 3D semantic occupancy prediction, with MinecraftOcc dataset enhancing occupancy prediction benchmarks for embodi...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.27578
• PDF: https://arxiv.org/pdf/2604.27578
• Project Page: https://world2minecraft.github.io/
• Github: https://github.com/Nepenthes-zlc/World2Minecraft

==================================

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✨The Last Human-Written Paper: Agent-Native Research Artifacts

📝 Summary:
S c i e n t i f i c p u b l i c a t i o n c o m p r e s s e s a b r a n c h i n g , i t e r a t i v e r e s e a r c h p r o c e s s i n t o a l i n e a r n a r r a t i v e , d i s c a r d i n g t h e ...

🔹 Publication Date: Published on Apr 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.24658
• PDF: https://arxiv.org/pdf/2604.24658
• Project Page: https://www.orchestra-research.com/ara
• Github: https://github.com/Orchestra-Research/Agent-Native-Research-Artifact

==================================

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✨MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons

📝 Summary:
A fully end-to-end framework for arbitrary-skeleton motion capture that jointly optimizes video-to-pose and pose-to-rotation prediction while addressing rotation ambiguity through reference pose-rotat...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.28130
• PDF: https://arxiv.org/pdf/2604.28130
• Project Page: https://animotionlab.github.io/MoCapAnythingV2/
• Github: https://github.com/animotionlab26/MocapAnything

==================================

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✨PhyCo: Learning Controllable Physical Priors for Generative Motion

📝 Summary:
PhyCo enhances video diffusion models with physics-based control through a large-scale dataset, physics-supervised fine-tuning, and vision-language model guidance for improved physical consistency. AI...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.28169
• PDF: https://arxiv.org/pdf/2604.28169
• Project Page: https://phyco-video.github.io/

==================================

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✨InteractWeb-Bench: Can Multimodal Agent Escape Blind Execution in Interactive Website Generation?

📝 Summary:
InteractWeb-Bench presents the first multimodal interactive benchmark for website generation under non-expert low-code conditions, addressing semantic misalignment through diverse user agents and inte...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.27419
• PDF: https://arxiv.org/pdf/2604.27419
• Project Page: https://interactweb-bench.wangqiyao.me/
• Github: https://github.com/AIforIP/InteractWeb-Bench

==================================

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✨Co-Evolving Policy Distillation

📝 Summary:
Co-Evolving Policy Distillation enables unified integration of multiple expert capabilities through parallel training and bidirectional policy distillation, outperforming existing methods in multi-mod...

🔹 Publication Date: Published on Apr 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.27083
• PDF: https://arxiv.org/pdf/2604.27083

==================================

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✨ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control

📝 Summary:
ExoActor uses third-person video generation as a unified interface to model interaction dynamics between robots, environments, and objects, enabling task-conditioned humanoid behaviors through motion ...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.27711
• PDF: https://arxiv.org/pdf/2604.27711
• Project Page: https://baai-agents.github.io/ExoActor/

==================================

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✨Leveraging Verifier-Based Reinforcement Learning in Image Editing

📝 Summary:
This paper introduces Edit-R1, a framework for image editing that uses a chain-of-thought verifier-based reasoning reward model Edit-RRM. Edit-RRM provides fine-grained, principle-based rewards, overcoming limitations of existing models. This approach significantly enhances image editing performa...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.27505
• PDF: https://arxiv.org/pdf/2604.27505

==================================

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✨Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling

📝 Summary:
LenVM is a token-level framework that models remaining generation length as a value estimation problem. It improves length control and efficiency in autoregressive models, significantly outperforming baselines and enabling continuous control over performance-efficiency trade-offs.

🔹 Publication Date: Published on Apr 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.27039
• PDF: https://arxiv.org/pdf/2604.27039
• Project Page: https://length-value-model.github.io/
• Github: https://length-value-model.github.io/demo/index.html

==================================

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✨Efficient Training on Multiple Consumer GPUs with RoundPipe

📝 Summary:
RoundPipe introduces a novel pipeline scheduling approach that eliminates weight binding constraints in LLM fine-tuning, enabling efficient training on consumer GPUs through dynamic stage distribution...

🔹 Publication Date: Published on Apr 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.27085
• PDF: https://arxiv.org/pdf/2604.27085
• Project Page: https://itcarrot.github.io/RoundPipe/
• Github: https://github.com/ITcarrot/RoundPipe

==================================

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✨Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows

📝 Summary:
Claw-Eval-Live presents a dynamic benchmark for evaluating workflow agents that tracks evolving demands and verifies task execution through detailed logging and structured assessment methods. AI-gener...

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.28139
• PDF: https://arxiv.org/pdf/2604.28139
• Project Page: https://claw-eval-live.github.io
• Github: https://claw-eval-live.github.io

==================================

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✨ViPO: Visual Preference Optimization at Scale

📝 Summary:
ViPO scales visual preference optimization using Poly-DPO for noisy data and constructing ViPO, a large high-quality dataset. This dual approach yields superior performance, emphasizing that algorithmic adaptability and data quality are crucial.

🔹 Publication Date: Published on Apr 29

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.24953
• PDF: https://arxiv.org/pdf/2604.24953
• Project Page: https://liming-ai.github.io/ViPO
• Github: https://liming-ai.github.io/ViPO

==================================

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#VisualAI #MachineLearning #DeepLearning #Optimization #DataScience

✨FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption

📝 Summary:
FlashRT significantly enhances the efficiency of optimization-based prompt injection and knowledge corruption attacks for long-context LLMs. It delivers 2x-7x speedup and 2x-4x GPU memory reduction, enabling systematic and scalable security evaluations.

🔹 Publication Date: Published on Apr 30

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.28157
• PDF: https://arxiv.org/pdf/2604.28157
• Github: https://github.com/wang-yanting/FlashRT

==================================

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Found an easy way to learn math for ML: Mathematics for Machine Learning 🎓📚

This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. 📖📊

It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. 🧮🤖

Free public repository on GitHub. 💻✨

https://github.com/dair-ai/Mathematics-for-ML

#MachineLearning #Mathematics #DataScience #Learning #GitHub #AI