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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Differentially Private Heavy Hitter Detection using Federated Analytics Apple In this work, we study practical heuristics to improve the performance of prefix-tree based algorit… 2023-07-21 published
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Differentially Private Synthetic Data via Foundation Model APIs 2: Text taaft Text data has become extremely valuable due to the emergence of machine learning algorithms that le… 2024-03-04 published
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DiffIE: Diffusion-based Open Information Extraction taaft A single sentence often expresses multiple valid relational triplets, which makes Open Information… 2026-09-02 published
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Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement taaft Although deep neural network (DNN)-based speech enhancement (SE) methods outperform the previous no… 2022-10-27 published
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DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability taaft In this paper we propose a novel generative approach, DiffRoll, to tackle automatic music transcrip… 2022-10-11 published
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DiffuCOMET: Contextual Commonsense Knowledge Diffusion taaft Inferring contextually-relevant and diverse commonsense to understand narratives remains challengin… 2024-02-26 published
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DiffuSearch: How Hybrid Trajectory Planning Benefits from Aligned Objectives in Diffusion and Action Space taaft In trajectory planning for autonomous driving, hybrid planning architectures are often realized as… 2026-09-02 published
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DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models taaft Recently, a number of image-mixing-based augmentation techniques have been introduced to improve th… 2024-04-05 published
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Diffusion Language Models Are Versatile Protein Learners taaft This paper introduces diffusion protein language model (DPLM), a versatile protein language model t… 2024-02-28 published
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Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges taaft Diffusion language models (DLMs) offer a non-autoregressive alternative for mobile edge agentic art… 2026-09-04 published
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Diffusion Models for Joint Audio-Video Generation taaft Multimodal generative models have shown remarkable progress in single-modality video and audio synt… 2026-03-17 published
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Diffusion Models Without Attention Apple In recent advancements in high-fidelity image generation, Denoising Diffusion Probabilistic Models… 2023-11-30 published
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Diffusion Policies for Short-Horizon Planning in Robot Crowd Navigation taaft Robot crowd navigation requires safe and efficient decision-making under dense, dynamic, and multim… 2026-08-27 published
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Diffusion-Based Inverse Design of Dielectric Resonator Metasurfaces for Shaping Smart Electromagnetic Environments taaft Future wireless systems are expected to transform the surrounding space from a passive propagation… 2026-08-30 published
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Diffusion-Based Refinement for Kilometer-Scale Probabilistic Precipitation Nowcasting taaft Localized extreme precipitation is a major trigger of urban flash floods and landslides, yet produc… 2026-08-31 published
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Diffusion-based Signal Refiner for Speech Enhancement and Separation taaft Although recent speech processing technologies have achieved significant improvements in objective… 2023-05-10 published
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Diffusion-Encoding Gaussian Field for Joint k-q dMRI Reconstruction taaft Diffusion MRI requires repeated k-space acquisitions over multiple diffusion-encoding directions, m… 2026-09-02 published
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Dimension Dependent Correlation Gap Bounds under Restricted Independence taaft The pairwise independent correlation gap is the ratio of the maximum expected value of a set functi… 2026-09-02 published
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Dimension-Adaptive Batched Lipschitz Narrowing Without Knowing the Zooming Dimension taaft The Appropriately Combined Edge-length (ACE) sequence in A-BLiN depends on the zooming dimension $d… 2026-09-04 published
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DINOv2: Learning Robust Visual Features without Supervision Meta Platforms The recent breakthroughs in natural language processing for model pretraining on large quantities o… 2023-04-14 published
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Dior: Drawing the Light of Image via Material-Decoupled Illumination Representation taaft Controllable image relighting is an important problem in image editing, and hand-drawn scribbles pr… 2026-08-30 published
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Direct Interval Propagation Methods using Neural-Network Surrogates for Uncertainty Quantification in Physical Systems Surrogate Model taaft In engineering, uncertainty propagation aims to characterise system outputs under uncertain inputs.… 2026-03-22 published
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Direct Preference Optimization: Your Language Model is Secretly a Reward Model taaft While large-scale unsupervised language models (LMs) learn broad world knowledge and some reasoning… 2023-05-29 published
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DiReCT: Disentangled Regularization of Contrastive Trajectories for Physics-Refined Video Generation taaft Flow-matching video generators produce temporally coherent, high-fidelity outputs yet routinely vio… 2026-03-26 published
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DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services taaft We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provi… 2023-09-20 published
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DiscoSign: Discourse-Aware Text to Sign Language Gloss Translation taaft Sign language processing systems have traditionally operated at the sentence level, ignoring critic… 2026-09-02 published
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Discourse Dependency: A Continuous Criterion for Translation Difficulty taaft Recent calls for harder machine translation benchmarks have not clarified what difficulty should me… 2026-09-04 published
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Discovering faster matrix multiplication algorithms with reinforcement learning Google DeepMind Formulated algorithm discovery as a single-player game and used AlphaZero-style RL to find novel ma… Google DeepMind
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Discrete Diffusion Bridges for Spatiotemporally Aligned Image Translation and Generation taaft We propose Discrete Diffusion Bridges (DDB), a novel framework designed to resolve the fundamental… 2026-08-30 published
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Discriminative World Models for Web Agents taaft Recent web agents use world models for test-time action selection by sampling candidate actions, pr… 2026-09-02 published
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Disease Burden over Skin Tone: Decomposing the Dermatology-AI Generalization Gap taaft Dermatology artificial intelligence (AI) models are predominantly trained on light-skinned, cancer-… 2026-09-02 published
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Disentangling Optimization Scale from Preference Scale in DPO taaft Direct Preference Optimization (DPO) is a widely used objective for aligning language models from p… 2026-08-27 published
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Disentangling Statistical Preemption from Entrenchment in Language Models' Avoidance of Overgeneralization taaft How do learners avoid overgeneralizations such as Tom laughed me without explicit negative evidence… 2026-09-01 published
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Dissonance Spectrum explicitly models perceptual frequency interactions for better music understanding taaft Conventional music representations describe acoustic energy over time and frequency but do not expl… 2026-08-26 published
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Distill Globally, Adapt Locally: Reasoning Distillation and Product-Type Test-Time Training for Scalable Trade-Up Recommendation taaft Trade-up recommendation identifies higher-quality alternatives that preserve a customer's purchase… 2026-09-04 published
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Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One taaft Language generation is almost universally treated as a sequential process: autoregressive models em… 2026-09-03 published