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Bytez is now live on @LiteLLM, bringing 20,000+ multi-modal chat models to their platform 🎉
✨ Bytez gives you free access to 100,000 models
✨ Run 150,000 open + closed models with 1 API key
✨ Generate text, images + more with Bytez, the Internet's largest Inference API 🦄
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Bytez is honored to be embedded in @CVPR 2025, making AI research truly interactive.
🔍 Browse, explore, and listen to papers
💻 Play with CVPR vision models
🚀 Coming soon: free access to CVPR models via the Bytez Inference API
Congrats to all the researchers! 🎉
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Bytez is honored to be embedded in @icmlconf this year, making 3341 AI papers truly interactive.
🔍 Browse, explore, and listen to papers
✨ Play with ICML text and vision models
Congrats to all the researchers presenting their work this year!
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Real-Time Simulated Avatar from Head-Mounted Sensors
TLDR: SimXR is a method that controls a virtual character using sensors from AR/VR headsets.
✨ Interactive paper: bytez.com/read/cvpr/29633
Get paper code, content, Q&A, and more on @Bytez 🚀
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🚀 Bytez is embedded in #NeurIPS2024, hosting every paper—and soon, models—from the conference!
We’re making AI research more accessible & interactive for the community
Missed the event? Dive into SOTA research w/ our repo of #NeurIPS papers & TLDRs ⚡️
bytez.com/neurips
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Ilya (@ilyasut) accepting the Test of Time award at @NeurIPSConf for his paper Sequence to Sequence Learning with Neural Networks w/ co-authors Oriol Vinyals & Quoc V. Le & talking about superintelligence 🔥
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🚀 Now on Bytez: @OpenAI’s gpt-oss-20b & gpt-oss-120b
Run them instantly via our Model API. No infra or devops required
✅ Inference via JS or Python SDK
✅ Just specify the model ID
✅ Chat, explore the README, view related models & more on Bytez
🔗 bytez.com/model/openai/gpt-o…
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🚀 Now load models up to 2x faster in cloud environments with @huggingface transformers. Just set `HF_ENABLE_PARALLEL_LOADING`
Enhancement brought to you by @Bytez ✨
Check out the official release 👇
github.com/huggingface/trans…
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The next wave in AI is all about “model-product fit”
Which model(s) make your product/agent not just work, but win?
@openrouter + @Bytez are building the inference engine for this era
Our API gives you access to 140k+ serverless models via a unified protocol. Let's build :)
Excited to announce a $40M raise for @openrouter (seed + A), led by a16z & Menlo!
LLM inference will be the biggest software market in the world. We've become the #1 control plane. Here's what's next:
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🚨 Last call for AI founders + builders!
We're going live (virtually) from AWS today, 2–4:30PM PT ⚡
Our founder will be sharing how to turn your janky AI prototype into a multi-tenant SaaS empire, powered by our Model API :)
Topics include:
👉 "Agentic repos" (yes, it's a thing)
👉 Agent-as-a-Service
👉 Cloud scaling magic
👉 AWS Marketplace wizardry
🎥 Join us or regret forever → lnkd.in/dC4xG3Zm
@omnistrate @saastr @DataRobot
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✨ We’re live at #NeurIPS2024! ✨
The opening keynote by the brilliant Alison Gopnik (@AlisonGopnik) is underway at @NeurIPSConf. A packed house and an incredible start to the conference!
#NeurIPS2024
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you can create your own AI feed & explore 440k+ interactive papers on @Bytez. Lets us know how we can improve it ⚡️
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Interested in robotics?
Our founder @hollympeck put together a list of 20+ robotics papers being presented this year
See TLDRs, link to virtual posters, and interactive versions on Bytez ⚡️
→ github.com/smallfryy/icml202…
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⚡️ICML 2025 snapshot⚡️
Top 5 research trends by paper count:
- Language modeling & LLMs (294)
- Reinforcement learning (92)
- Decision making (62)
- Image generation (53)
- Quantization (51)
Explore the full landscape on ICML and Bytez 🔥
→ icml.cc/virtual/2025/papers.…
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Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmen...
TLDR: This research introduces a new technique called Auxiliary Fourier-basis Augmentation (AFA) to make computer vision models more robust.
✨ Interactive paper: bytez.com/read/cvpr/31059
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Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments
TLDR: A new method called Dr.
✨ Interactive paper: bytez.com/read/cvpr/31819
Get paper code, content, Q&A, and more on @Bytez 🚀
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⚡️Happening today: live demo from @HustleNHack + @hollympeck featuring our research agent, serverless model API & an experimental glimpse at what comes next ;)
@mozilla @huggingface @nomic_ai @allhands_ai @NousResearch
🚨Today🚨Join @MozillaVentures and @MozillaAI at the first global open source AI conference with @huggingface, @matthartman, @flwrlabs, @Bytez and other AI leaders, to explore open source approaches. Register here: glosaic.org/
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⚡ Building agentic AI apps on AWS?
Catch Bytez founder @HustleNHack live tomorrow at the AWS SF office w/ leaders from @awscloud, @DataRobot & @omnistrate
We’ll demo how to build an AI agent in minutes using the Bytez Model API
📍 May 6, SF
🔗 lnkd.in/gRf_6Zrx
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MMA: Multi-Modal Adapter for Vision-Language Models
TLDR: This paper introduces a Multi-Modal Adapter (MMA) for Vision-Language Models to improve how text and images are understood together.
✨ Interactive paper: bytez.com/read/cvpr/30210
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Open-Vocabulary 3D Semantic Segmentation with Foundation Models
TLDR: OV3D is a new system that helps computers understand 3D environments better without being limited to predefined categories.
✨ Interactive paper: bytez.com/read/cvpr/31804
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Automated Design of Agentic Systems
TLDR: researchers have created Automated Design of Agentic Systems (ADAS) to autonomously develop innovative agents through meta-agent programming + design evolution
Congrats @jeffclune + team 💯
Interactive paper ✨
bytez.com/docs/arxiv/2408.08…
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🚀 Missed #NeurIPS2023? We've got you covered. Not only will we share the latest AI papers from NeurIPS, but we'll also provide access to open-source models as they become available ⚡️
Keep up with the fast-paced world of machine learning, only on Bytez. Follow us for real-time updates and breakthroughs in #AI 🖖
#OpenSource #MachineLearning @NeurIPSConf
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Congrats to @jianyuan_wang @MinghaoChen23 @n_karaev, Andrea Vedaldi, Christian Rupprecht & @davnov134 for winning the Best Paper Award at @CVPR for "VGGT: Visual Geometry Grounded Transformer" 🎉
Explore, listen to & get code for their paper here:
bytez.com/docs/cvpr/33969/pa…
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Aaaaand we're live from the poster sessions!! 💯🔥 Congrats authors, your work is pushing the industry forward 🥳
@NeurIPSConf #NeurIPS2024 @UAlberta @GoogleDeepMind @MIT_CSAIL @Stanford
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Explore 20,000 fine-tuned chat models with Bytez x LiteLLM✨
docs.litellm.ai/docs/provide…
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Programmable Motion Generation for Open-Set Motion Control Tasks
TLDR: Programmable Motion Generation is a new way to control human motion in various scenarios without needing specialized training data.
✨ Interactive paper: bytez.com/read/cvpr/31817
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PerceptionGPT: Effectively Fusing Visual Perception into LLM
TLDR: PerceptionGPT is a new model that helps computers understand images better.
✨ Interactive paper: bytez.com/read/cvpr/31054
Get paper code, content, Q&A, and more on @Bytez 🚀
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MA-LMM: Memory-Augmented Large Multimod...
TLDR: This study presents a new model called MA-LMM that helps understand long videos better by using a "memory bank" to store and recall past video information as the video plays.
✨ Interactive paper: bytez.com/read/cvpr/30043
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Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Congrats @ChengleiSi, @Diyi_Yang + @tatsu_hashimoto 🎉
✨ Explore interactive AI papers, get summaries + code, watch videos & more on @Bytez 🪩
bytez.com/docs/arxiv/2409.04…
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Outstanding work to all the authors – Shengran Hu (@shengranhu), Cong Lu (@cong_ml), and Jeff Clune (@jeffclune). Give 'em a follow 🚀👏🚀
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🚨 Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm 🚨
📌 Presented @ #NeurIPS — congrats to the authors! 🎉
📖 Read the interactive paper: bytez.com/read/neurips/96718
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🌟 New AI Paper 🌟
👏 Kudos to Junhyuk and team for their groundbreaking work: "Temporal Dynamic Quantization for Diffusion Models"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/72396
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Would Deep Generative Models Amplify Bias in Future Models?
TLDR: This research paper explores how using images generated by AI models can impact bias in future computer vision systems.
✨ Interactive paper: bytez.com/read/cvpr/30196
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Differentiable Display Photometric Stereo
TLDR: Researchers have developed a new method called Differentiable Display Photometric Stereo (DDPS) that helps create 3D models using a monitor and camera.
✨ Interactive paper: bytez.com/read/cvpr/30812
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The Bytez team is vibing at #NeurIPS2024 & we'll be tweeting out interactive AI papers presented by authors this year.
At the conference? Our DMs are open. Let's connect⚡
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MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
TLDR: MLIP is a new method that improves how computers learn from medical images and reports.
✨ Interactive paper: bytez.com/read/cvpr/29392
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Data Valuation and Detections in Federated Learning
TLDR: Federated Learning (FL) is a method for training models collaboratively while keeping data private.
✨ Interactive paper: bytez.com/read/cvpr/29393
Get paper code, content, Q&A, and more on @Bytez 🚀
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LayoutFormer: Hierarchical Text Detection Towards Scene Text Understanding
TLDR: A new method called LayoutFormer is introduced for detecting different levels of text (words, lines, paragraphs) in images.
✨ Interactive paper: bytez.com/read/cvpr/29240
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ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning
TLDR: Researchers developed a new method, ECLIPSE, for continual panoptic segmentation in computer vision.
✨ Interactive paper: bytez.com/read/cvpr/31354
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En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
TLDR: En3D is a new method for creating realistic and diverse 3D human avatars without needing existing 3D data.
✨ Interactive paper: bytez.com/read/cvpr/29657
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🚨 Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction 🚨
This research introduces a new method ca...
📌 Presented @ #NeurIPS — congrats to the authors! 🎉
📖 Read the interactive paper: bytez.com/read/neurips/93766
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🚨 Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning 🚨
📌 Presented @ #NeurIPS — congrats to the authors! 🎉
📖 Read the interactive paper: bytez.com/read/neurips/94373
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ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers
TLDR: ALGM is a method that helps make image segmentation faster and more accurate.
✨ Interactive paper: bytez.com/read/cvpr/31162
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You can run 110K+ serverless AI models for free at 1 concurrency:
bytez.com/models?sort=free
Have fun :)
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Data-Efficient Unsupervised Interpolation Without Any Intermediate F...
TLDR: This research paper introduces a new method called UVI-Net for creating 4D medical images, which are essentially 3D images that change over time.
✨ Interactive paper: bytez.com/read/cvpr/29178
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Multi-Object Tracking in the Dark
TLDR: This paper introduces a method for tracking multiple objects in dark scenes using a new dataset.
✨ Interactive paper: bytez.com/read/cvpr/29190
Get paper code, content, Q&A, and more on @Bytez 🚀
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GLaMM: Pixel Grounding Large Multimodal Model
TLDR: GLaMM is a new AI model that can understand both text and images to have detailed conversations while pointing out objects in pictures.
✨ Interactive paper: bytez.com/read/cvpr/31094
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🌟 New AI Paper 🌟
👏 Kudos to Xiang and team for their groundbreaking work: "VideoComposer: Compositional Video Synthesis with Motion Controllability"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/70806
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Multimodal Sense-Informed Forecasting of 3D Human Motions
TLDR: A novel multi-modal forecasting framework, SIF3D, predicts human motion in 3D scenarios using scene and gaze information.
✨ Interactive paper: bytez.com/read/cvpr/29411
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VBench: Comprehensive Benchmark Suite for Video Generative Models
TLDR: VBench is a tool to test how good computer programs are at making videos.
✨ Interactive paper: bytez.com/read/cvpr/30230
Get paper code, content, Q&A, and more on @Bytez 🚀
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Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
TLDR: This research proposes a new method to complete missing parts of 3D scenes from LiDAR scans used in self-driving cars.
✨ Interactive paper: bytez.com/read/cvpr/30558
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Molecular Data Programming: Towards Molecule Pseudo-labe...
TLDR: This research paper introduces a new method called Molecular Data Programming (MDP) to help classify molecules when there is not much labeled data available.
✨ Interactive paper: bytez.com/read/cvpr/30224
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🌟 New AI Paper 🌟
👏 Kudos to Shunya and team for their groundbreaking work: "Transfer Learning with Affine Model Transformation"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/72369
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🫶 Join us tonight for one of the last events celebrating @NeurIPSConf
Should be a fun evening of techno & AI, exploring the intersection of human & machine creativity. Enjoy drinks, dancing & enlightening sound installations. Thx @monobor for organizing
lu.ma/0yjycxaz?fbclid
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LLaFS: When Large Language Models Meet Few-Shot Segmentation
TLDR: This paper introduces LLaFS, a new method using large language models for few-shot segmentation in computer vision.
✨ Interactive paper: bytez.com/read/cvpr/30546
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Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
TLDR: Researchers developed a new method called Spherical Mask for more accurate 3D instance segmentation in point clouds.
✨ Interactive paper: bytez.com/read/cvpr/31260
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🚨 VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks 🚨
📌 Presented @ #NeurIPS — congrats to the authors! 🎉
📖 Read the interactive paper: bytez.com/read/neurips/93861
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RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control
TLDR: This paper introduces RAM-Avatar, a method for creating realistic human avatars from videos in real-time.
✨ Interactive paper: bytez.com/read/cvpr/30819
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🌟 New AI Paper 🌟
👏 Kudos to Jarosław and team for their groundbreaking work: "When Does Optimizing a Proper Loss Yield Calibration?"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/72632
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🚨 Hierarchical Selective Classification 🚨
📌 Presented @ #NeurIPS — congrats to the authors! 🎉
📖 Read the interactive paper: bytez.com/read/neurips/93110
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Mind Artist: Creating Artistic Snaps...
TLDR: A new neural decoding system called Mind Artist (MindArt) can create art from thoughts in a realistic and controllable way.
Interactive paper: bytez.com/read/cvpr/29722
Get paper code, content, Q&A, and more on @Bytez
#bytez
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SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos
TLDR: This research paper introduces a new way to teach AI how actions sound from real-life videos.
✨ Interactive paper: bytez.com/read/cvpr/29841
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ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
TLDR: ULIP-2 is a cool new framework for computers to learn about 3D shapes using images, language, and 3D data.
✨ Interactive paper: bytez.com/read/cvpr/29822
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WinSyn: : A High Resolution Testbed for Synthetic Data
TLDR: Researchers created a dataset called WinSyn with over 89,000 window images to help make computer-generated images look more like the real world.
✨ Interactive paper: bytez.com/read/cvpr/31741
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NightCC: Nighttime Color Constancy via Adaptive Channel Masking
TLDR: A new method was developed to improve color accuracy in nighttime photos.
✨ Interactive paper: bytez.com/read/cvpr/29249
Get paper code, content, Q&A, and more on @Bytez 🚀
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🚨 Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding 🚨
📌 Presented @ #NeurIPS — congrats to the authors! 🎉
📖 Read the interactive paper: bytez.com/read/neurips/93251
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Fair-VPT: Fair Visual Prompt Tuning for Image Classification
TLDR: The research introduces a method called Fair Visual Prompt Tuning (FairVPT) to make computer vision models fairer.
✨ Interactive paper: bytez.com/read/cvpr/30745
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CLiC: Concept Learning in Context
TLDR: This paper introduces a method that learns visual concepts from images and transfers them to new images, focusing on embedding concepts within objects accurately.
✨ Interactive paper: bytez.com/read/cvpr/31706
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Efficient Vision-Language Pre-training by Cluster Masking
TLDR: Researchers have come up with a new way to improve computer models that understand both images and language by masking similar parts of images.
✨ Interactive paper: bytez.com/read/cvpr/29946
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FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation
TLDR: This research paper introduces a new method called FRESCO for improving video translation quality using image diffusion models.
✨ Interactive paper: bytez.com/read/cvpr/29488
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🚨 Communication Bounds for the Distributed Experts Problem 🚨
📌 Presented @ #NeurIPS — congrats to the authors! 🎉
📖 Read the interactive paper: bytez.com/read/neurips/95796
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Hierarchical Correlation Clustering and Tree Preserving Embedding
TLDR: A new method called Hierarchical Correlation Clustering (HCC) helps group data into clusters considering both positive and negative similarities.
✨ Interactive paper: bytez.com/read/cvpr/30039
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Sat2Scene: 3D Urban Scene Generation from Satellite Images with Diffusion
TLDR: This research paper introduces a new method called Sat2Scene that generates realistic urban scenes from satellite images.
✨ Interactive paper: bytez.com/read/cvpr/31239
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OpenEQA: Embodied Question Answering in the Era of Foundation Models
TLDR: Embodied Question Answering (EQA) is about understanding an environment well enough to answer questions about it in natural language.
✨ Interactive paper: bytez.com/read/cvpr/29575
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🌟 New AI Paper 🌟
👏 Kudos to Jianzhun and team for their groundbreaking work: "Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/72777
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UniHuman: A Unified Model For Editing Human Images in the Wild
TLDR: UniHuman is a new model for editing human images like changing poses or clothes based on text, using a mix of data sources.
✨ Interactive paper: bytez.com/read/cvpr/29897
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Bootstrapping Autonomous Driving Radars with Self-Supe...
TLDR: This research paper introduces a new method called Radical that improves how self-driving cars use radar to detect objects, especially in bad weather like fog.
✨ Interactive paper: bytez.com/read/cvpr/29284
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Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
TLDR: AdaRand is a new method that helps deep learning models to learn better without needing extra information or using too much computation.
✨ Interactive paper: bytez.com/read/cvpr/31795
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Bilateral Propagation Network for Depth Completion
TLDR: Depth completion is like connecting the dots to create a full picture.
✨ Interactive paper: bytez.com/read/cvpr/29551
Get paper code, content, Q&A, and more on @Bytez 🚀
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Composed Video Retrieval via Enriched Context and Discriminative Embeddings
TLDR: Proposed framework improves video and image search using detailed language descriptions to understand context better.
✨ Interactive paper: bytez.com/read/cvpr/30088
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🚨 Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe 🚨
📌 Presented @ #NeurIPS — congrats to the authors! 🎉
📖 Read the interactive paper: bytez.com/read/neurips/93887
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🌟 New AI Paper 🌟
👏 Kudos to Tao and team for their groundbreaking work: "Sample Complexity of Forecast Aggregation"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/71007
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ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images
TLDR: This paper introduces ZERO-IG, a new method for improving real low-light images without needing training data.
✨ Interactive paper: bytez.com/read/cvpr/30262
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🌟 New AI Paper 🌟
👏 Kudos to Sohir and team for their groundbreaking work: "A Fractional Graph Laplacian Approach to Oversmoothing"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/70642
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Observation-Guided Diffusion Probabilistic Models
TLDR: Diffusion probabilistic models are used for generating images by removing noise step by step.
✨ Interactive paper: bytez.com/read/cvpr/31828
Get paper code, content, Q&A, and more on @Bytez 🚀
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🌟 New AI Paper 🌟
👏 Kudos to Pieter-Jan and team for their groundbreaking work: "Principled Weight Initialisation for Input-Convex Neural Networks"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/70408
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Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion
TLDR: Researchers developed a new method for quickly creating 3D models from text descriptions.
✨ Interactive paper: bytez.com/read/cvpr/30007
Get paper code, content, Q&A, and more on @Bytez 🚀
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🌟 New AI Paper 🌟
👏 Kudos to Dat and team for their groundbreaking work: "Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models"
📅 Presented at #NeurIPS2023!
bytez.com/read/neurips/70077
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