Search Results for author:
Found 6 papers, 3 papers with code
Tensor Program Optimization with Probabilistic Programs
Experimental results show that MetaSchedule can cover the search space used in the state-of-the-art tensor program optimization frameworks in a modular way.
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
If only provided with the table, it is hard for existing models to produce controllable and high-fidelity logical generations.
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing
We introduce HULK, a multi-task energy efficiency benchmarking platform for responsible natural language processing.
TabFact: A Large-scale Dataset for Table-based Fact Verification
To this end, we construct a large-scale dataset called TabFact with 16k Wikipedia tables as the evidence for 118k human-annotated natural language statements, which are labeled as either ENTAILED or REFUTED.
Ranked #10 on
Table-based Fact Verification
on TabFact
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Time series forecasting is an important problem across many domains, including predictions of solar plant energy output, electricity consumption, and traffic jam situation.
Ranked #27 on
Image Generation
on ImageNet 64x64
(Bits per dim metric)
Verb Pattern: A Probabilistic Semantic Representation on Verbs
In this paper, we introduce verb patterns to represent verbs' semantics, such that each pattern corresponds to a single semantic of the verb.
