Recommended AI Papers: June 2022 – Tamal Dutta Chowdhury

Scaling Vision Transformers: https://arxiv.org/pdf/2106.04560.pdf
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation: https://arxiv.org/pdf/2107.01378.pdf
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control: https://arxiv.org/pdf/2109.08947.pdf
LightSeq2: Accelerated Training for Transformer-based Models on GPUs: https://arxiv.org/pdf/2110.05722.pdf
Conditionally Elicitable Dynamic Risk Measures For Deep Reinforcement Learning: https://arxiv.org/pdf/2206.14666.pdf
Cooperative Retriever and Ranker in Deep Recommenders: https://arxiv.org/pdf/2206.14649.pdf
Two-Stage Neural Contextual Bandits for Personalised News Recommendation: https://arxiv.org/pdf/2206.14648.pdf
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification: https://arxiv.org/pdf/2111.14844.pdf
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions: https://arxiv.org/pdf/2111.14813.pdf
Space-Efficient Representation of Entity-centric Query Language Models: https://arxiv.org/pdf/2206.14885.pdf
Self-Supervised Learning For Videos: A Survey: https://arxiv.org/pdf/2207.00419.pdf
Path Integral Stochastic Optimal Control for Sampling Transition Paths: https://arxiv.org/pdf/2207.02149.pdf
Personalized Showcases: Generating Multi-Modal Explanations for Recommendations: https://arxiv.org/pdf/2207.00422.pdf
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks: https://arxiv.org/pdf/2207.00424.pdf
Rethinking Optimization with Differentiable Simulation from a Global Perspective: https://arxiv.org/pdf/2207.00167.pdf
Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding: https://arxiv.org/pdf/2206.15014.pdf
Randomized Coordinate Subgradient Method For Nonsmooth Optimization: https://arxiv.org/pdf/2206.14981.pdf
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference: https://arxiv.org/pdf/2206.14928.pdf
Mapping the Design Space of Human-AI Interaction in Text Summarization: https://arxiv.org/pdf/2206.14863.pdf
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization: https://arxiv.org/pdf/2206.14846.pdf
The Dynamical Mass of the Coma Cluster from Deep Learning: https://arxiv.org/pdf/2206.14834.pdf
A hybrid level-based learning swarm algorithm with mutation operator for solving large-scale cardinality-constrained portfolio optimization problems: https://arxiv.org/pdf/2206.14760.pdf
Identifying anomalous radio sources in the EMU Pilot Survey using a complexity-based approach: https://arxiv.org/pdf/2206.14677.pdf
LViT: Language meets Vision Transformer in Medical Image Segmentation: https://arxiv.org/pdf/2206.14718.pdf
GO-Surf: Neural Feature Grid Optimization for Fast, High-Fidelity RGB-D Surface Reconstruction: https://arxiv.org/pdf/2206.14735.pdf
EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering: https://arxiv.org/pdf/2206.14355.pdf
Automatic Depth Optimization for Quantum Approximate Optimization Algorithm: https://arxiv.org/pdf/2206.14412.pdf
Robust Optimization for Quantum Reinforcement Learning Control using Partial Observations: https://arxiv.org/pdf/2206.14420.pdf
SRCN3D: Sparse R-CNN 3D Surround-View Camera Object Detection and Tracking for Autonomous Driving: https://arxiv.org/pdf/2206.14451.pdf
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems: https://arxiv.org/pdf/2201.03916.pdf
Fusing Blockchain And Ai With Metaverse: A Survey: https://arxiv.org/pdf/2201.03201.pdf
Scene Graph Generation: A Comprehensive Survey: https://arxiv.org/pdf/2201.00443.pdf
SWINBERT: End-to-End Transformers with Sparse Attention for Video Captioning: https://arxiv.org/pdf/2111.13196.pdf
Generating Symbolic Reasoning Problems with Transformer GANs: https://arxiv.org/pdf/2110.10054.pdf
Object-Region Video Transformers: https://arxiv.org/pdf/2110.06915.pdf
Deep Neural Networks and Tabular Data: A Survey: https://arxiv.org/pdf/2110.01889.pdf
Dataflow Accelerator Architecture for Autonomous Machine Computing: https://arxiv.org/pdf/2109.07047.pdf
Anomaly Transformer: Time Series Anomaly Detection With Association Discrepancy: https://arxiv.org/pdf/2110.02642.pdf
Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning: https://arxiv.org/pdf/2109.04786.pdf
A Survey Of Sound Source Localization With Deep Learning Methods: https://arxiv.org/pdf/2109.03465.pdf
Deep Learning For Time Series Forecasting: Tutorial And Literature Survey: https://arxiv.org/pdf/2004.10240.pdf
Escaping the Big Data Paradigm with Compact Transformers: https://arxiv.org/pdf/2104.05704.pdf
Vision Transformers with Hierarchical Attention: https://arxiv.org/pdf/2106.03180.pdf
End-to-end Temporal Action Detection with Transformer: https://arxiv.org/pdf/2106.10271.pdf
Learned Token Pruning for Transformers: https://arxiv.org/pdf/2107.00910.pdf