Papers
660 papers found
Learning Bimanual Scooping Policies for Food Acquisition
Jennifer Grannen, Yilin Wu, Suneel Belkhale et al.
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval
Hai X. Pham, Ricardo Guerrero, Vladimir Pavlovic et al.
Learn More for Food Recognition via Progressive Self-Distillation
Yaohui Zhu, Linhu Liu, Jiang Tian
Learning Program Representations for Food Images and Cooking Recipes
Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko et al.
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers
Ashish Nair, Rahul Yadav, Anjali Gupta et al.
LLM Driven Legal Text Analytics: A Case Study For Food Safety Violation Cases
Suyog Joshi, Soumyajit Basu, Lipika Dey et al.
RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue
Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen et al.
LLM Driven Legal Text Analytics: A Case Study For Food Safety Violation Cases
Suyog Joshi, Soumyajit Basu, Lipika Dey et al.
Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms
Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani et al.
Annotations for Exploring Food Tweets from Multiple Aspects
Matiss Rikters, Rinalds Vīksna, Edison Marrese-Taylor
SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN
Gjorgjina Cenikj, Tome Eftimov, Barbara Koroušić Seljak
Complaint Analysis and Classification for Economic and Food Safety
João Filgueiras, Luís Barbosa, Gil Rocha et al.
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Amaia Salvador, Nicholas Hynes, Yusuf Aytar et al.
Online Class-Incremental Learning for Real-World Food Image Classification
Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu
A Local Learning Approach for Clustering
Mingrui Wu, Bernhard Schölkopf
A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten Borgwardt, Malte Rasch et al.
Bundle Methods for Machine Learning
Quoc V. Le, Alex J. Smola, S.v.n. Vishwanathan
Cluster Stability for Finite Samples
Ohad Shamir, Naftali Tishby
Deflation Methods for Sparse PCA
Lester W. Mackey
Fast Rates for Regularized Objectives
Karthik Sridharan, Shai Shalev-shwartz, Nathan Srebro
Predictive Indexing for Fast Search
Sharad Goel, John Langford, Alexander L. Strehl
Distribution Matching for Transduction
Novi Quadrianto, James Petterson, Alex J. Smola
Kernel Methods for Deep Learning
Youngmin Cho, Lawrence K. Saul
Riffled Independence for Ranked Data
Jonathan Huang, Carlos Guestrin
A Dirty Model for Multi-task Learning
Ali Jalali, Sujay Sanghavi, Chao Ruan et al.