4 citations · 7 across the 2 of their papers we have counts for
5 papers
Finetune like you pretrain: Improved finetuning of zero-shot vision models
Sachin Goyal, Ananya Kumar, Sankalp Garg +2
Finetuning image-text models such as CLIP achieves state-of-the-art accuracies on a variety of benchmarks. However, recent works like WiseFT (Wortsman et al., 2021) and LP-FT (Kuma…
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
Sankalp Garg, Navodita Sharma, Woojeong Jin +1
Time series prediction is an important problem in machine learning. Previous methods for time series prediction did not involve additional information. With a lot of dynamic knowle…
Symbolic Network: Generalized Neural Policies for Relational MDPs
Sankalp Garg, Aniket Bajpai, Mausam
A Relational Markov Decision Process (RMDP) is a first-order representation to express all instances of a single probabilistic planning domain with possibly unbounded number of obj…
Size Independent Neural Transfer for RDDL Planning
Sankalp Garg, Aniket Bajpai, Mausam
Neural planners for RDDL MDPs produce deep reactive policies in an offline fashion. These scale well with large domains, but are sample inefficient and time-consuming to train from…
Transfer of Deep Reactive Policies for MDP Planning
Aniket Bajpai, Sankalp Garg, Mausam
Domain-independent probabilistic planners input an MDP description in a factored representation language such as PPDDL or RDDL, and exploit the specifics of the representation for…