Daniel Ho
10 papers · 2018–2024 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Keywords
large language model
(3)
natural language understanding
(2)
pre-trained language model
(2)
mobile manipulator
(2)
benchmark evaluation
(2)
neural network training
(1)
feature learning
(1)
image classification
(1)
transfer learning
(1)
sensor fusion
(1)
domain adaptation
(1)
object detection
(1)
interpretability
(1)
self-supervised learning
(1)
domain generalization
(1)
responsible ai
(1)
robotic manipulation
(1)
semantic analysis
(1)
data augmentation
(1)
sim-to-real transfer
(1)
Papers
MultiLegalPile: A 689GB Multilingual Legal Corpus
ACL 2024
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators
RSS 2023
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
NeurIPS 2023
Bayesian Imitation Learning for End-to-End Mobile Manipulation
ICML 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CoRL 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
NeurIPS 2022
NBDT: Neural-Backed Decision Tree
ICLR 2021
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms
EMNLP 2021
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
ICML 2019
Improvements to Context Based Self-Supervised Learning
CVPR 2018