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Bibliografiske detaljer
Main Authors:	Gao, Yansong, Chaudhari, Pratik
Format:	Preprint
Udgivet:	2020
Fag:	Machine Learning
Online adgang:	https://arxiv.org/abs/2011.00613
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Lignende værker

An Effective Gram Matrix Characterizes Generalization in Deep Networks
af: Yang, Rubing, et al.
Udgivet: (2025)

Model Zoo: A Growing "Brain" That Learns Continually
af: Ramesh, Rahul, et al.
Udgivet: (2021)

Budgeting Counterfactual for Offline RL
af: Liu, Yao, et al.
Udgivet: (2023)

Learning Capacity: A Measure of the Effective Dimensionality of a Model
af: Chen, Daiwei, et al.
Udgivet: (2023)

How does Chain of Thought decompose complex tasks?
af: Nadgir, Amrut, et al.
Udgivet: (2026)

A Confidence Interval for the $\ell_2$ Expected Calibration Error
af: Sun, Yan, et al.
Udgivet: (2024)

Fast Feature Field ($\text{F}^3$): A Predictive Representation of Events
af: Das, Richeek, et al.
Udgivet: (2025)

Language Modeling with Learned Meta-Tokens
af: Shah, Alok N., et al.
Udgivet: (2025)

Heat Death of Generative Models in Closed-Loop Learning
af: Marchi, Matteo, et al.
Udgivet: (2024)

Deep Implicit Optimization enables Robust Learnable Features for Deformable Image Registration
af: Jena, Rohit, et al.
Udgivet: (2024)

Many Perception Tasks are Highly Redundant Functions of their Input Data
af: Ramesh, Rahul, et al.
Udgivet: (2024)

Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
af: Wang, Rongguang, et al.
Udgivet: (2023)

Distillation of Discrete Diffusion by Exact Conditional Distribution Matching
af: Gao, Yansong, et al.
Udgivet: (2025)

ReLU Networks as Random Functions: Their Distribution in Probability Space
af: Chaudhari, Shreyas, et al.
Udgivet: (2025)

Time-Varying Propensity Score to Bridge the Gap between the Past and Present
af: Fakoor, Rasool, et al.
Udgivet: (2022)

Prospective Learning in Retrospect
af: Bai, Yuxin, et al.
Udgivet: (2025)

Geometric SSM: LTI State Space Models for Selective Tasks
af: Casti, Umberto, et al.
Udgivet: (2025)

Stateful KV Cache Management for LLMs: Balancing Space, Time, Accuracy, and Positional Fidelity
af: Poudel, Pratik
Udgivet: (2025)

Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
af: Cen, Zhepeng, et al.
Udgivet: (2024)

Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
af: Liu, Tian Yu, et al.
Udgivet: (2024)

FLAME: Adaptive Mixture-of-Experts for Continual Multimodal Multi-Task Learning
af: Han, Xing, et al.
Udgivet: (2026)

Prospective Learning: Learning for a Dynamic Future
af: De Silva, Ashwin, et al.
Udgivet: (2024)

LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection
af: Zhao, Lanxin, et al.
Udgivet: (2026)

Magnitude Distance: A Geometric Measure of Dataset Similarity
af: Torkamani, Sahel, et al.
Udgivet: (2026)

Is Distance Matrix Enough for Geometric Deep Learning?
af: Li, Zian, et al.
Udgivet: (2023)

Geometric Reasoning in the Embedding Space
af: Hůla, Jan, et al.
Udgivet: (2025)

Tree-Sliced Wasserstein Distance: A Geometric Perspective
af: Tran, Viet-Hoang, et al.
Udgivet: (2024)

Adversarial Multi-dueling Bandits
af: Gajane, Pratik
Udgivet: (2024)

Task Addition in Multi-Task Learning by Geometrical Alignment
af: Yim, Soorin, et al.
Udgivet: (2024)

Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach
af: Marchetti, Giovanni Luca, et al.
Udgivet: (2023)

A Set-to-Set Distance Measure in Hyperbolic Space
af: Li, Pengxiang, et al.
Udgivet: (2025)

Spatio-temporal DeepKriging in PyTorch: A Supplementary Application to Precipitation Data for Interpolation and Probabilistic Forecasting
af: Nag, Pratik
Udgivet: (2025)

An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models
af: Mao, Jialin, et al.
Udgivet: (2025)

Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations
af: Fogliato, Riccardo, et al.
Udgivet: (2023)

Enhancing selectivity using Wasserstein distance based reweighing
af: Worah, Pratik
Udgivet: (2024)

A Goemans-Williamson type algorithm for identifying subcohorts in clinical trials
af: Worah, Pratik
Udgivet: (2025)

Sparse Crosscoders for diffing MoEs and Dense models
af: Chaudhari, Marmik, et al.
Udgivet: (2026)

Towards Calibrated Losses for Adversarial Robust Reject Option Classification
af: Shah, Vrund, et al.
Udgivet: (2024)

Calibrated Similarity for Reliable Geometric Analysis of Embedding Spaces
af: Tacheny, Nicolas
Udgivet: (2026)

Bootstrapping Task Spaces for Self-Improvement
af: Jiang, Minqi, et al.
Udgivet: (2025)