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09/08/2023
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
Pretraining molecular representations from large unlabeled data is essen...
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06/05/2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
We present a novel framework to overcome the limitations of equivariant ...
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05/07/2023
Train a Real-world Local Path Planner in One Hour via Partially Decoupled Reinforcement Learning and Vectorized Diversity
Deep Reinforcement Learning (DRL) has exhibited efficacy in resolving th...
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03/31/2023
Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
Object-centric learning (OCL) aspires general and compositional understa...
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03/27/2023
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
Dense prediction tasks are a fundamental class of problems in computer v...
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11/14/2022
Unrealizability Logic
We consider the problem of establishing that a program-synthesis problem...
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10/27/2022
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
To overcome the quadratic cost of self-attention, recent works have prop...
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08/22/2022
Equivariant Hypergraph Neural Networks
Many problems in computer vision and machine learning can be cast as lea...
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07/06/2022
Pure Transformers are Powerful Graph Learners
We show that standard Transformers without graph-specific modifications ...
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06/03/2022
GraphDistNet: A Graph-based Collision-distance Estimator for Gradient-based Trajectory
Trajectory optimization (TO) aims to find a sequence of valid states whi...
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11/29/2021
UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection
Generic Event Boundary Detection (GEBD) is a newly suggested video under...
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10/27/2021
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
We present a generalization of Transformers to any-order permutation inv...
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06/22/2021
Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach
Generic Event Boundary Detection (GEBD) is a newly introduced task that ...
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03/29/2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
Generative modeling of set-structured data, such as point clouds, requir...
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08/22/2020
Semantics-Guided Synthesis
This paper develops a new framework for program synthesis, called semant...
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11/15/2019