Papers
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
Yan Xu, Zhaoyang Huang, Kwan-Yee Lin et al.
Learning a Decentralized Multi-Arm Motion Planner
Huy Ha, Jingxi Xu, Shuran Song
From pixels to legs: Hierarchical learning of quadruped locomotion
Deepali Jain, Ken Caluwaerts, Atil Iscen
Augmenting GAIL with BC for sample efficient imitation learning
Rohit Jena, Changliu Liu, Katia Sycara
CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs
Rohan Chitnis, Tom Silver, Beomjoon Kim et al.
DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning
Chiho Choi, Srikanth Malla, Abhishek Patil et al.
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
Meet Shah, Zhiling Huang, Ankit Laddha et al.
Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design
Jiankai Sun, Hao Sun, Tian Han et al.
Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting
Xinshuo Weng, Jianren Wang, Sergey Levine et al.
Learning a Decision Module by Imitating Driver’s Control Behaviors
Junning Huang, Sirui Xie, Jiankai Sun et al.
Limits to Depth Efficiencies of Self-Attention
Yoav Levine, Noam Wies, Or Sharir et al.
Sampling-Decomposable Generative Adversarial Recommender
Binbin Jin, Defu Lian, Zheng Liu et al.
Passport-aware Normalization for Deep Model Protection
Jie Zhang, Dongdong Chen, Jing Liao et al.
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash et al.
Distributed Distillation for On-Device Learning
Ilai Bistritz, Ariana Mann, Nicholas Bambos
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
Kristopher Jensen, Ta-Chu Kao, Marco Tripodi et al.
Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks
Yuhang Song, Thomas Lukasiewicz, Zhenghua Xu et al.
An Analysis of SVD for Deep Rotation Estimation
Jake Levinson, Carlos Esteves, Kefan Chen et al.
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar et al.
Multi-agent Trajectory Prediction with Fuzzy Query Attention
Nitin Kamra, Hao Zhu, Dweep Kumarbhai Trivedi et al.
Wasserstein Distances for Stereo Disparity Estimation
Divyansh Garg, Yan Wang, Bharath Hariharan et al.
Faithful Embeddings for Knowledge Base Queries
Haitian Sun, Andrew Arnold, Tania Bedrax Weiss et al.
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng, Ruosong Wang, Wotao Yin et al.
Variational Interaction Information Maximization for Cross-domain Disentanglement
HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong et al.
MeshSDF: Differentiable Iso-Surface Extraction
Edoardo Remelli, Artem Lukoianov, Stephan Richter et al.