OnlineBEV: Recurrent Temporal Fusion in Bird's Eye View Representations for Multi-Camera 3D Perception
arxiv.org·17h
📐Projective Geometry
A Principled Framework for Multi-View Contrastive Learning
arxiv.org·4d
🧠Machine Learning
Create 1 video, send to 100's of prospects
vidsell.ai·43m·
Discuss: Hacker News
⏱️SMPTE Timecode
Ensemble of Weak Spectral Total Variation Learners: a PET-CT Case Study
arxiv.org·17h
🧠Machine Learning
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding
arxiv.org·17h
🧠Neural Codecs
Science of Chess: How does chess calculation depend on words vs. pictures?
lichess.org·1d·
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🔲Cellular Automata
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation
arxiv.org·17h
🌀Riemannian Computing
Understanding Driving Risks using Large Language Models: Toward Elderly Driver Assessment
arxiv.org·17h
🎙️Whisper
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
arxiv.org·17h
🤐Secure Multiparty
Ilion Framework: A Public Layer for Semantic Alignment with Truth
zenodo.org·1d·
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💾Binary Linguistics
Algorithms for making interesting organic simulations
bleuje.com·1d·
Discuss: Lobsters, Hacker News, Hacker News
🔲Cellular Automata
Stop Saying RAG Is Dead
hamel.dev·2h·
Discuss: Hacker News
📊Multi-vector RAG
Distilling Empathy from Large Language Models
arxiv.org·17h
🎛️Feed Filtering
Using data version control to build better AI factories
lakefs.io·4h·
Discuss: Hacker News
⚡Incremental Computation
Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
arxiv.org·17h
🧠Machine Learning
Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs
arxiv.org·3d
🧠Neural Codecs
MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning
arxiv.org·3d
🏛Digital humanities
Robust Semi-Supervised CT Radiomics for Lung Cancer Prognosis: Cost-Effective Learning with Limited Labels and SHAP Interpretation
arxiv.org·17h
🧠Machine Learning
How much attention do you need, really? Experiments in O(1) task completion
notion.so·1d·
Discuss: Hacker News
🌀Brotli Internals
SSSUMO: Real-Time Semi-Supervised Submovement Decomposition
arxiv.org·17h
📊Quantization