Copertina

NUTS, NARS, and Speech

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	van der Sluis, D.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers
di: Bai, Yatong, et al.
Pubblicazione: (2024)

Functional Equivalence with NARS
di: Johansson, Robert, et al.
Pubblicazione: (2024)

Inverse-RLignment: Large Language Model Alignment from Demonstrations through Inverse Reinforcement Learning
di: Sun, Hao, et al.
Pubblicazione: (2024)

Not All Explanations for Deep Learning Phenomena Are Equally Valuable
di: Jeffares, Alan, et al.
Pubblicazione: (2025)

Preference Learning for AI Alignment: a Causal Perspective
di: Kobalczyk, Katarzyna, et al.
Pubblicazione: (2025)

Active Timepoint Selection for Learning Measure-Valued Trajectories
di: Huynh, Nicolas, et al.
Pubblicazione: (2026)

Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport
di: Amad, Harry, et al.
Pubblicazione: (2026)

Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
di: Seedat, Nabeel, et al.
Pubblicazione: (2023)

Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
di: Jeffares, Alan, et al.
Pubblicazione: (2024)

Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models
di: Chiu, Christopher, et al.
Pubblicazione: (2025)

Eliciting Numerical Predictive Distributions of LLMs Without Autoregression
di: Piskorz, Julianna, et al.
Pubblicazione: (2026)

Discovery of Hidden Miscalibration Regimes
di: Kobalczyk, Katarzyna, et al.
Pubblicazione: (2026)

Mechanistic Interpretability of Brain-to-Speech Models Across Speech Modes
di: Maghsoudi, Maryam, et al.
Pubblicazione: (2026)

PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances
di: Elyasi, Keyvan Amiri, et al.
Pubblicazione: (2024)

CleanS2S: Single-file Framework for Proactive Speech-to-Speech Interaction
di: Lu, Yudong, et al.
Pubblicazione: (2025)

You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
di: Seedat, Nabeel, et al.
Pubblicazione: (2024)

Large Language Models to Enhance Bayesian Optimization
di: Liu, Tennison, et al.
Pubblicazione: (2024)

Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes
di: Kobalczyk, Katarzyna, et al.
Pubblicazione: (2024)

Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
di: Rauba, Paulius, et al.
Pubblicazione: (2024)

Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates
di: Akkerman, Fabian, et al.
Pubblicazione: (2024)

Time Series Diffusion in the Frequency Domain
di: Crabbé, Jonathan, et al.
Pubblicazione: (2024)

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
di: Schweisthal, Jonas, et al.
Pubblicazione: (2024)

Causal Deep Learning
di: Berrevoets, Jeroen, et al.
Pubblicazione: (2023)

PRISM: Parallel Reward Integration with Symmetry for MORL
di: van der Knaap, Finn, et al.
Pubblicazione: (2026)

CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization
di: van der Linden, Putri A., et al.
Pubblicazione: (2025)

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
di: Alles, Marvin, et al.
Pubblicazione: (2024)

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning
di: van der Vaart, Pascal R., et al.
Pubblicazione: (2025)

Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents
di: Liu, Tennison, et al.
Pubblicazione: (2025)

AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning
di: Imrie, Fergus, et al.
Pubblicazione: (2022)

Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions
di: Bachmann, Fynn, et al.
Pubblicazione: (2025)

TechOps: Technical Documentation Templates for the AI Act
di: Lucaj, Laura, et al.
Pubblicazione: (2025)

Language Bottleneck Models for Qualitative Knowledge State Modeling
di: Berthon, Antonin, et al.
Pubblicazione: (2025)

Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
di: Sun, Hao, et al.
Pubblicazione: (2025)

When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective
di: Sun, Hao, et al.
Pubblicazione: (2023)

DAGnosis: Localized Identification of Data Inconsistencies using Structures
di: Huynh, Nicolas, et al.
Pubblicazione: (2024)

HISPASpoof: A New Dataset For Spanish Speech Forensics
di: Risques, Maria, et al.
Pubblicazione: (2025)

Aligning Brain Signals with Multimodal Speech and Vision Embeddings
di: Shapovalenko, Kateryna, et al.
Pubblicazione: (2025)

Defining Expertise: Applications to Treatment Effect Estimation
di: Hüyük, Alihan, et al.
Pubblicazione: (2024)

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
di: Alles, Marvin, et al.
Pubblicazione: (2025)

Unveiling the Power of Sparse Neural Networks for Feature Selection
di: Atashgahi, Zahra, et al.
Pubblicazione: (2024)