“I just want to visualize my loss curve without paying w&b unacceptable pricing ($1 per gpu hour is absurd).”

“Running this at 5K RPS with sub-microsecond overhead now. The concurrency primitives in Go made this way easier than Python would've been.”

“Are you pruning your neural networks? "Delete parameters with small weights!" or "Gradients..."”

“Liquid AI has introduced LFM2.5, a new generation of small foundation models built on the LFM2 architecture and focused at on device and edge deployments.”

“This is an abliterated version of the allegedly leaked Llama 3.3 8B 128k model that tries to minimize intelligence loss while optimizing for compliance.”

“TTT-E2E keeps training while it reads, compressing context into its weights. The result: full-attention performance at 128K tokens, with constant inference cost.”

“B-Trans effectively leverage the wisdom of crowds, yielding superior semantic diversity while achieving better task performance compared to deterministic baselines.”

“The paper introduces an algorithm with guaranteed approximations considering some sets of weights for the operations.”

“The paper provides the first convergence guarantee for Optimistic Multiplicative Weights Update (OMWU) in NLHF, showing that it achieves last-iterate linear convergence after a burn-in phase whenever an NE with full support exists.”

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“The proposed approach estimates study-specific sampling weights using auxiliary information and calibrates the estimating equations to obtain the full set of model parameters.”

“The rescaled Hitchin metric converges, in the semiclassical limit, to the hyperkähler metric on the hyperpolygon space.”

“PointRAFT achieved a mean absolute error of 12.0 g and a root mean squared error of 17.2 g, substantially outperforming a linear regression baseline and a standard PointNet++ regression network.”

“The paper introduces stationary-reweighted soft FQI, which reweights each regression update using the stationary distribution of the current policy. It proves local linear convergence under function approximation with geometrically damped weight-estimation errors.”

“The paper identifies quantum geometric bounds for observables in non-Hermitian systems and showcases these findings in topological systems with non-Hermitian Chern numbers.”

“NEAT autonomously evolves both network topology and connection weights, enabling task-specific architectures without manual tuning.”

“DSC models the weight update as a residual trajectory within a Star-Shaped Domain, employing a Magnitude-Gated Simplex Interpolation to ensure continuity at the identity.”

“The paper introduces a new class of integrable 3D lattice models, possessing continuous families of commuting layer-to-layer transfer matrices.”

“The proposed architecture reduces the number of parameters by up to 19%, training time by 9.9%, and inference time by 8.0%, while maintaining comparable performance to the baseline model.”

“The paper proposes a novel methodology to evaluate the stability of datasets and a benchmark workflow that can be used to compare datasets.”

“Is anyone seriously using GLM 4.5 Air locally for agentic coding (e.g., having it reliably do 10 to 50 tool calls in a single agent round) and has some hints regarding well-working coding TUIs?”

“MFT consistently surpasses LoRA variants and even full fine-tuning, achieving high performance without altering the frozen backbone.”

“The goal here is methodology validation: making the growth event comparable, checking correctness parity, and measuring whether preserving optimizer state across resizing has a visible effect.”

“The paper establishes bounds, presents realizability results, determines exact values for some graph families, and demonstrates an equivalence between the weighted Roman domination number and the differential of a weighted graph.”

“N/A - Content not provided”

“The effectiveness of sparse subnetworks depends more on how much sparsity is applied in each layer than on the exact weights included in the subnetwork.”

“Bright-4B produces morphology-accurate segmentations of nuclei, mitochondria, and other organelles from brightfield stacks alone--without fluorescence, auxiliary channels, or handcrafted post-processing.”

“The paper proposes rules for rebalancing that gate trades through magnitude-based thresholds and posterior activation probabilities, thereby trading off expected tracking error against turnover and portfolio size.”

“The open-weights reasoning model DeepSeek R1 achieves state-of-the-art performance (50.6%), surpassing proprietary giants like Claude 3.7 Sonnet (47.7%) and GPT-4o (33.7%), it still exhibits a significant accuracy drop when moving from general benchmarks (BIRD) to CricBench.”

“The paper argues that the coset graph $A \otimes G/\mathbb{Z}_2$ encodes not only the coset graph fusion algebra, but also boundary g-factors, defect g-factors, and relative symmetry resolved entanglement entropy.”

“The paper proves that in the subcritical regime the cluster-size distribution has exponentially decaying tails, whereas in the supercritical regime the percolation probability grows at least linearly with respect to λ near criticality.”

“The excitation velocities can be calculated from the knowledge of the matrices of compressibility and the Drude weights, as their squares are the eigenvalues of the product of the two matrices.”

“Model converges quickly, but hard to tell if would be competitive with float models or BitNet itself since most of my toy models have only been trained for <1 epoch on the datasets using consumer hardware.”

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“The weighted MCC values are higher for classifiers that perform better on highly weighted observations, and hence is able to distinguish them from classifiers that have a similar overall performance and ones that perform better on the lowly weighted observations.”

“The title itself provides the core information about the research's focus: a specific type of mathematical inequality under particular conditions.”

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“We develop a generative perspective on hyper-parameter tuning that combines two ideas: (i) optimization-based approximations to Bayesian posteriors via randomized, weighted objectives (weighted Bayesian bootstrap), and (ii) amortization of repeated optimization across many hyper-parameter settings by learning a transport map from hyper-parameters (including random weights) to the corresponding optimizer.”

“We propose a simple 1-bit delta scheme that stores only the sign of the weight difference together with lightweight per-axis (row/column) FP16 scaling factors, learned from a small calibration set.”

“Analyzing Object Weight Impact on Human Handovers to Adapt Robotic Handover Motion.”

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“We cover the complete development lifecycle from tracking individual FM calls to monitoring complex agent workflows in production.”

“The context indicates the paper is an ArXiv publication focusing on theoretical aspects of deep learning.”

“The context indicates the source is an ArXiv paper.”

“Gabliteration uses Adaptive Multi-Directional Neural Weight Modification.”

“NVIDIA has released the Nemotron 3 family of open models as part of a full stack for agentic AI, including model weights, datasets and reinforcement learning tools.”

“The article's core focus is on dynamic weight generation for editing large language models.”

“The paper likely addresses the challenge of removing the influence of specific data points from a model trained in a federated setting, while preserving the model's performance on the remaining data.”

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