Papers
Sat 30 Oct 2021
83 papers
- Magic Pyramid: Accelerating Inference with Early Exiting and Token PruningEfficient LLM inference and serving → Early exit and edge inference
- Mastering Atari Games with Limited DataWorld models → Latent dynamics models and model-based RL
- Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach
- Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review
- Simultaneous estimation of wall and object parameters in TWR using deep neural network
- Use of low-fidelity models with machine-learning error correction for well placement optimization
- Saliency detection with moving camera via background model completion
- Top1 Solution of QQ Browser 2021 Ai Algorithm Competition Track 1 : Multimodal Video Similarity
- Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
- A comparison of mixed-variables Bayesian optimization approaches
- Sustainable AI: Environmental Implications, Challenges and Opportunities
- Functional Neural Networks for Parametric Image Restoration Problems
- A Survey on the Robustness of Feature Importance and Counterfactual Explanations
- Optimizing Sparse Matrix Multiplications for Graph Neural Networks
- AdvCodeMix: Adversarial Attack on Code-Mixed Data
- Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE
- Causal Discovery in Linear Structural Causal Models with Deterministic Relations
- Identifying and mitigating bias in algorithms used to manage patients in a pandemic
- Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
- Beyond Independent Measurements: General Compressed Sensing with GNN Application
- Neural Network based on Automatic Differentiation Transformation of Numeric Iterate-to-Fixedpoint
- Speaker conditioning of acoustic models using affine transformation for multi-speaker speech recognition
- Real-time Speaker counting in a cocktail party scenario using Attention-guided Convolutional Neural Network
- ECG synthesis with Neural ODE and GAN models
- 3DP3: 3D Scene Perception via Probabilistic Programming
- EmpBot: A T5-based Empathetic Chatbot focusing on Sentiments
- TargetUM: Targeted High-Utility Itemset Querying
- Optimizing Binary Symptom Checkers via Approximate Message Passing
- Throughput and Latency in the Distributed Q-Learning Random Access mMTC Networks
- A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
- Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach
- Long-Range Route-planning for Autonomous Vehicles in the Polar Oceans
- Intrusion Prevention through Optimal Stopping
- A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles
- EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
- Cross-Modality Fusion Transformer for Multispectral Object Detection
- Higher-Order Relations Skew Link Prediction in Graphs
- Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
- Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
- Love tHy Neighbour: Remeasuring Local Structural Node Similarity in Hypergraph-Derived Networks
- Equinox: neural networks in JAX via callable PyTrees and filtered transformations
- The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs
- On Joint Learning for Solving Placement and Routing in Chip Design
- MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
- Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation
- whu-nercms at trecvid2021:instance search task
- Unpaired Learning for High Dynamic Range Image Tone Mapping
- Approximation properties of Residual Neural Networks for Kolmogorov PDEs
- Adjacency constraint for efficient hierarchical reinforcement learning
- PatchFormer: An Efficient Point Transformer with Patch Attention
- One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning
- Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis
- A Comparative Review of Recent Few-Shot Object Detection Algorithms
- AutoDrone: Shortest Optimized Obstacle-Free Path Planning for Autonomous Drones
- Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec
- Backdoor Pre-trained Models Can Transfer to All
- Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
- M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images
- Automatic Knowledge Augmentation for Generative Commonsense Reasoning
- How should human translation coexist with NMT? Efficient tool for building high quality parallel corpus
- Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation
- Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings
- Geometry-Aware Hierarchical Bayesian Learning on Manifolds
- Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
- Direct attacks using fake images in iris verification
- On Quantitative Evaluations of Counterfactuals
- Iris Recognition Based on SIFT Features
- Dynamic Differential-Privacy Preserving SGD
- Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs
- HIERMATCH: Leveraging Label Hierarchies for Improving Semi-Supervised Learning
- You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership
- Pseudo-Labeling for Massively Multilingual Speech Recognition
- DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models
- TransAug: Translate as Augmentation for Sentence Embeddings
- ILMPQ : An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA
- RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions
- Temporal-Spatial Feature Extraction Based on Convolutional Neural Networks for Travel Time Prediction
- Uncovering IP Address Hosting Types Behind Malicious Websites
- DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer
- Efficient Inference Without Trading-off Regret in Bandits: An Allocation Probability Test for Thompson Sampling
- Context Meta-Reinforcement Learning via Neuromodulation
- Three approaches to facilitate DNN generalization to objects in out-of-distribution orientations and illuminations
- Predicting Critical Biogeochemistry of the Southern Ocean for Climate Monitoring