Peter Bailis
11 papers · 2019–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (19) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
π
Grand Slam
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(57)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Application Areas
(6)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Core Methods
(2)
Generation
(2)
Optimization
(2)
Optimization & Theory
(2)
Computer Science
(1)
Architectures
(1)
Models
(1)
Keywords
active learning
(2)
large language model
(2)
knowledge distillation
(2)
image classification
(1)
similarity search
(1)
coreset selection
(1)
compressive sensing
(1)
high-dimensional data
(1)
large-scale learning
(1)
random sampling
(1)
query selection
(1)
transformation invariance
(1)
tensor factorization
(1)
fault tolerance
(1)
random projection
(1)
majority voting
(1)
nearest neighbor
(1)
language model
(1)
scaling law
(1)
ensemble learning
(1)
Papers
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
NeurIPS 2024
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
ICML 2024
Online Speculative Decoding
ICML 2024
Data-Parallel Actors: A Programming Model for Scalable Query Serving Systems
NSDI 2022
Similarity Search for Efficient Active Learning and Search of Rare Concepts
AAAI 2022
Contracting Wide-area Network Topologies to Solve Flow Problems Quickly
NSDI 2021
Selection via Proxy: Efficient Data Selection for Deep Learning
ICLR 2020
Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data
ICML 2019
Equivariant Transformer Networks
ICML 2019
LIT: Learned Intermediate Representation Training for Model Compression
ICML 2019
Rehashing Kernel Evaluation in High Dimensions
ICML 2019