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16,754 results found
  • The annual ACM SIGKDD Conference on Knowledge Discovery and Data Mining is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share ideas, research results and experiences.
    August 3 - 7, 2025
    Toronto, Ontario
  • SIGIR is the premier international forum for the presentation of new research results and for the demonstration of new systems and techniques in information retrieval. The conference consists of five days of full papers, short papers, resource & reproducibility papers, perspectives papers, system demonstrations, doctoral consortium, tutorials, and workshops focused on research and development in the area of information retrieval.
    July 13 - 17, 2025
    Padova, Italy
  • The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses.
    June 11 - 15, 2025
    Nashville, Tennessee
  • The flagship conference of the IEEE Robotics and Automation Society (RAS), ICRA brings together the world’s top researchers and industry leaders to share ideas, exchange knowledge, and advance the field of robotics for the benefit of humanity.
    May 19 - 23, 2025
    Atlanta, GA
  • The Conference on Machine Learning and Systems targets research at the intersection of machine learning and systems. The conference aims to elicit new connections amongst these fields, including identifying best practices and design principles for learning systems, as well as developing novel learning methods and theory tailored to practical machine learning workflows.
    May 12 - 15, 2025
    Santa Clara, California
  • The North American Chapter of the Association for Computational Linguistics (NAACL) provides a regional focus for ACL members in North, Central, and South America, organizes annual conferences, promotes cooperation and information exchange among related scientific and professional societies, encourages and facilitates ACL membership by people and institutions in the Americas, and provides a source of information on regionalRead more
    April 29 - May 4, 2025
    Albuquerque, New Mexico
  • Since the invention of the World Wide Web in 1989, The Web Conference is a yearly international academic conference on the topic of the future direction of the World Wide Web. This conference has been the premier venue to present and discuss progress in research, development, standards, and applications of the topics related to the Web.
    April 28 - May 2, 2025
    Sydney, Australia
  • The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.
    April 24 - 28, 2025
    Singapore
  • Research Scientist
  • RSS 2025
    2025
    We consider the problem of designing a smooth trajectory that traverses a sequence of convex sets in minimum time, while satisfying given velocity and acceleration constraints. This problem is naturally formulated as a nonconvex program. To solve it, we propose a biconvex method that quickly produces an initial trajectory and iteratively refines it by solving two convex subproblems in alternation. This
  • Zhichao Xu, Xinjie Shen, Charlie Yang
    2025
    With increasing demands for efficiency, information retrieval has developed a branch of sparse retrieval, further advancing towards inference-free retrieval where the documents are encoded during indexing time and there is no model-inference for queries. Existing sparse retrieval models rely on FLOPS regularization for sparsification, while this mechanism was originally designed for Siamese encoders, it
  • Toxicity text detectors can be vulnerable to adversarial examples - small perturbations to input text that fool the systems into wrong detection. Existing attack algorithms are time-consuming and often produce invalid or ambiguous adversarial examples, making them less useful for evaluating or improving real-world toxicity content moderators. This paper proposes an annotation pipeline for quality control
  • Jackie Lin, Georg Götz, Hermes Sampedro Llopis, Haukur Hafsteinsson, Steinar Guðjónsson, Daniel Gert Nielsen, Finnur Pind, Paris Smaragdis, Dinesh Manocha, John Hershey, Trausti Kristjansson, Minje Kim
    2025
    This paper describes the synthesis of the room acoustics challenge as a part of the generative data augmentation workshop at ICASSP 2025. The challenge defines a unique generative task that is designed to improve the quantity and diversity of the room impulse responses dataset so that it can be used for spatially sensitive downstream tasks: speaker distance estimation. The challenge identifies the technical
  • ICLR 2025 Workshop on Tackling Climate Change with Machine Learning
    2025
    Accurately quantifying product carbon footprints (PCFs) is critical for organizations to measure environmental impacts and develop decarbonization strategies. However, traditional methods require Bills of Materials (BOMs) data as a key input for PCF estimation, which is time-intensive and limits scalability. We present Palimpsest, an automated BOM generation algorithm given product specification as input
  • Jailbreaking large-language models (LLMs) involves testing their robustness against adversarial prompts and evaluating their ability to withstand prompt attacks that could elicit unauthorized or malicious responses. In this paper, we present TurboFuzzLLM, a mutation-based fuzzing technique for efficiently finding a collection of effective jailbreaking templates that, when combined with harmful questions
  • Data Scientist
  • Amazon Postdoctoral Scientist
  • Applied Scientist
  • CVPR 2025 Workshop on Computer Vision in Sports
    2025
    Vision Language Models (VLMs) have demonstrated strong performance in multi-modal tasks by effectively aligning visual and textual representations. However, most video understanding VLM research has been domain-agnostic, leaving the understanding of their transfer learning capability to specialized domains under-explored. In this work, we address this by exploring the adaptability of open-source VLMs to
  • Vishal Vyas, Andrei Paduroiu, Srikanth Kandula, Hari Ohm Prasath Rajagopal, Mukesh Punhani, Marco Manzo, Ankur Goyal, Santosh Chandrachood, Rick Sears, Joseph Marques, Sushant Majithia
    SIGMOD/PODS 2025
    2025
    Compute elasticity is a primary benefit of using cloud-based data processing platforms such as Amazon EMR, where clusters can be scaled both horizontally and vertically. For example, a query scanning petabytes of data can run faster in a cluster with thousands of nodes compared to one with only a few hundred. However, not all workloads require the same computational power or have the same resource utilization
GB, MLN, Edinburgh
We’re looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with global impact working with a team of world-class engineers and scientists across the Edinburgh offices and wider organization. You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside aRead more