Papers
3,241 in the directory.
Browse AI research papers and methods. Search paper profiles, read recorded summaries and follow source links for the full research.
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Use the summary to find relevant work, then read the original paper. Compare the method, evaluation setting, baselines and limitations with your own problem. Check whether code and datasets are available; a reported benchmark result may not transfer to your use case.
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Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers
Microsoft
We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we trai…
2023-01-05
published
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Neural Fields in Visual Computing and Beyond taaft Recent advances in machine learning have created increasing interest in solving visual computing pr… 2021-11-22 published
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Neural Logic, Invariance, and the Retina---McCulloch and Pitts taaft This chapter reconstructs the McCulloch-Pitts program as a physics of neural computation rather tha… 2026-09-02 published
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Neural ODE enhanced linear mixed effect models for estimating complex association patterns of time-varying covariates with the marker trajectory taaft Longitudinal cohort studies produce repeated data that enable the assessment of time-varying associ… 2026-08-30 published
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Neural operators approximate strongly continuous convex monotone semigroups taaft We approximate strongly continuous convex monotone semigroups by learning their Chernoff-type one-s… 2026-09-02 published
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Neural Symbollic Regression Using Deep Learning and Sparse Modelling taaft Symbolic Regression (SR) seeks to find succinct mathematical expressions that represent the fundame… 2026-09-01 published
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Neural-Network Maxent: a general extension with learned nonlinearity, applied to time-series for Desert Locust distribution modelling taaft Species Distribution Modelling (SDM) is essential for understanding how environmental conditions sh… 2026-09-03 published
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Neuralangelo: High-Fidelity Neural Surface Reconstruction NVIDIA Neural surface reconstruction has been shown to be powerful for recovering dense 3D surfaces via im… 2023-06-05 published
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NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems taaft Wearable EEG systems may expose sensitive information beyond their intended health function, creati… 2026-08-31 published
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Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios taaft Due to the complex attention mechanisms and model design, most existing vision Transformers (ViTs)… 2022-07-12 published
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NL2AGBench: Benchmarking LLM Auto-Formalization for AlphaGeometry taaft Recent advances in large language models (LLMs) have demonstrated strong capabilities in natural la… 2026-08-28 published
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No country for old linguists: LLM-brain alignment underdetermines neural computation taaft Nastase et al. (2026) argue that large language models (LLMs) may illuminate language processing be… 2026-09-02 published
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No Dense Tensors Needed: Fully Sparse Object Detection on Event-Camera Voxel Grids taaft Event cameras excel at detecting small, fast drones, but today's detectors give away their key adva… 2026-03-23 published
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No Hard Negatives Required: Concept Centric Learning Leads to Compositionality without Degrading Zero-shot Capabilities of Contrastive Models taaft Contrastive vision-language (V&L) models remain a popular choice for various applications. However,… 2026-03-26 published
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No Language Left Behind: Scaling Human-Centered Machine TranslationMarta R. Costa-jussà Meta Platforms Driven by the goal of eradicating language barriers on a global scale, machine translation has soli… 2022-07-11 published
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No Pixel Left Behind: Filling Gaps in Anime Colorization taaft Animation production workflows often involve digital colorization of line art, where small unpainte… 2026-09-01 published
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No-Regret Bayesian Optimization with Finite-Library Input-Warped Kernels taaft Gaussian-process Bayesian optimization (GP-BO) excels at black-box optimization of costly functions… 2026-09-02 published
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Noise-Robust De-Duplication at Scale taaft Identifying near duplicates within large, noisy text corpora has a myriad of applications that rang… 2022-10-09 published
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NoisEasier: Test-Time Noise Optimization for Text-to-Video Generation taaft Diffusion models have recently advanced text-to-video (T2V) generation, yet they still struggle wit… 2026-08-31 published
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Non-Uniform Quantisation for 3DGS Compression taaft 3D Gaussian Splatting (3DGS) has emerged as a powerful technique for novel view synthesis, yet its… 2026-08-28 published
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Nonparametric Contextual Pricing and Inventory Learning under Censored Demand taaft In online retailing, when a product sells out, a retailer often sees only the units sold, not how m… 2026-08-31 published
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NoOVD: Novel Category Discovery and Embedding for Open-Vocabulary Object Detection taaft Despite the remarkable progress in open-vocabulary object detection (OVD), a significant gap remain… 2026-03-22 published
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Normalized Low-Rank Adaptation taaft While low-rank adaptation (LoRA) is widely used for parameter-efficient model adaptation, how to re… 2026-08-31 published
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Not All Agreement Counts as Corroboration: Provenance-Conserving Multi-View Fusion for Typed Action Admission in Human-Robot Collaboration taaft Better probability scores do not establish that evidence has been counted correctly. Repeated infer… 2026-08-31 published
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Not All Fallbacks Are Failures: Understanding and Recovering from Fallbacks in Mobile Voice Assistants taaft Robust understanding of user input is a core requirement for voice assistants deployed in real-worl… 2026-08-31 published
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Not All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation taaft Low Rank Adaptation (LoRA) is the de facto fine-tuning strategy to generate personalized images fro… 2026-03-23 published
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Not All Tokens Are Created Equal: Query-Efficient Jailbreak Fuzzing for LLMs taaft Large Language Models(LLMs) are widely deployed, yet are vulnerable to jailbreak prompts that elici… 2026-03-24 published
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Not All Tokens Are Equal: Region-Aware Consistency Repair of Backdoors in MLLMs taaft MLLMs are increasingly deployed in user-facing applications, yet they inherit backdoor risks from t… 2026-08-25 published
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Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR taaft Reinforcement learning with verifiable rewards has made post-training highly effective when correct… 2026-05-19 published
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Not Just Reason, Not Just Scan: Reinforcement Learning for Proactive Scientific Error Verification over Academic Paper taaft Multimodal large language models (MLLMs) are increasingly capable scientific assistants, yet they r… 2026-08-27 published
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Not Safe for All: Auditing the Dialect Penalty in Text-to-Image Safety Pipelines taaft Text-to-image (T2I) safety guardrails fail to generalize equitably to non-standard dialects. Evalua… 2026-08-30 published
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NS-Copilot: An LLM-Driven Agent System for Autonomous Neuroscience Analysis taaft AI is rapidly advancing neuroscience, yet many laboratories fail to fully unleash its potential due… 2026-09-02 published
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NS-ST-GraphRAG: Neuro-Symbolic Spatio-Temporal GraphRAG for Literary Knowledge Processing taaft Long-form literary narratives pose a distinctive information-processing challenge for retrieval-aug… 2026-09-04 published
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NumBench: Diagnosing Counting Failures in Text-to-Image Models taaft Text-to-image (T2I) models often generate the wrong number of objects, yet existing benchmarks are… 2026-08-28 published
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NVIDIA-labs OO Agents: Native Python Object-Oriented Agents taaft Traditional agent development is split across prompt templates, tool schemas, callback code, and wo… 2026-07-22 published
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OASIS: Optimizing Attacker Sequences for Hard-Label Black-Box Text Attacks taaft Different attack methods follow different search trajectories, they succeed on different subsets of… 2026-08-30 published