Daniel Ho
10 papers · 2018–2024 · 8 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (8)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(8)
👥
Mega-Team
(45)
💎
Century Club
(10)
🗃️
Keyword Collector
(51)
Conferences
ICML (2)
NIPS (2)
ACL (1)
CORL (1)
CVPR (1)
EMNLP (1)
ICLR (1)
RSS (1)
Top co-authors
Keywords
large language model
(3)
mobile manipulator
(2)
benchmark evaluation
(2)
natural language understanding
(2)
feature learning
(1)
neural network training
(1)
image classification
(1)
model uncertainty
(1)
domain generalization
(1)
transfer learning
(1)
domain adaptation
(1)
object detection
(1)
self-supervised learning
(1)
data augmentation
(1)
robotic manipulation
(1)
responsible ai
(1)
semantic analysis
(1)
sensor fusion
(1)
sim-to-real transfer
(1)
zero-shot learning
(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
NIPS 2023
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
NIPS 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
CORL 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation
ICML 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