Papers
Sat 8 May 2021
77 papers
- RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- De-Pois: An Attack-Agnostic Defense against Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge DistillationKnowledge distillation → Speech and audio distillation
- Pouring Dynamics Estimation Using Gated Recurrent Units
- Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech
- Class-Incremental Learning for Wireless Device Identification in IoT
- Long-Span Summarization via Local Attention and Content Selection
- Fine-Grained ε-Margin Closed-Form Stabilization of Parametric Hawkes Processes
- Human Gait State Prediction Using Cellular Automata and Classification Using ELM
- AnomalyHop: An SSL-based Image Anomaly Localization Method
- Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
- Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning
- Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
- Dynamic Game Theoretic Neural Optimizer
- MetaKernel: Learning Variational Random Features with Limited Labels
- NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer
- Study of List-Based OMP and an Enhanced Model for Direction Finding with Non-Uniform Arrays
- e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
- PCA Event-Based Optical Flow for Visual Odometry
- Improving Deep Learning Performance for Predicting Large-Scale Porous-Media Flow through Feature Coarsening
- Contrastive Attraction and Contrastive Repulsion for Representation Learning
- Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
- PIM-DRAM: Accelerating Machine Learning Workloads using Processing in Commodity DRAM
- Generative Actor-Critic: An Off-policy Algorithm Using the Push-forward Model
- Mental Models of Adversarial Machine Learning
- Continuous representations of intents for dialogue systems
- Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions
- Falling Through the Gaps: Neural Architectures as Models of Morphological Rule Learning
- Understanding Neural Networks with Logarithm Determinant Entropy Estimator
- Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics
- Business Entity Matching with Siamese Graph Convolutional Networks
- Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
- Self-Supervised Adversarial Example Detection by Disentangled Representation
- HamNet: Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
- Quantum Machine Learning For Classical Data
- Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction
- Universal Online Convex Optimization Meets Second-order Bounds
- A Crossover That Matches Diverse Parents Together in Evolutionary Algorithms
- EZCrop: Energy-Zoned Channels for Robust Output Pruning
- Nearly Minimax-Optimal Rates for Noisy Sparse Phase Retrieval via Early-Stopped Mirror Descent
- Active Terahertz Imaging Dataset for Concealed Object Detection
- The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting
- Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs
- D2S: Document-to-Slide Generation Via Query-Based Text Summarization
- On Linear Interpolation in the Latent Space of Deep Generative Models
- Deep learning of nanopore sensing signals using a bi-path network
- Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text
- Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
- How To Train Your Program: a Probabilistic Programming Pattern for Bayesian Learning From Data
- Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval
- Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling
- On Guaranteed Optimal Robust Explanations for NLP Models
- CASIA-Face-Africa: A Large-scale African Face Image Database
- Improving Cross-Lingual Reading Comprehension with Self-Training
- A parallel-network continuous quantitative trading model with GARCH and PPO
- ABCNet v2: Adaptive Bezier-Curve Network for Real-time End-to-end Text Spotting
- Interpretable Mixture Density Estimation by use of Differentiable Tree-module
- Optimising Resource Management for Embedded Machine Learning
- Learning to Detect an Odd Restless Markov Arm with a Trembling Hand
- Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms
- Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
- Pure Exploration Bandit Problem with General Reward Functions Depending on Full Distributions
- Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
- Learning stochastic decision trees
- Loss Tolerant Federated Learning
- Facial Emotion Recognition: State of the Art Performance on FER2013
- Adaptive Latent Space Tuning for Non-Stationary Distributions
- SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
- Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
- Learning to Predict Repeatability of Interest Points
- Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?
- Domain-Specific Suppression for Adaptive Object Detection
- Improving Robustness for Pose Estimation via Stable Heatmap Regression
- ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting
- Multimodal and Contrastive Learning for Click Fraud Detection
- Scalable, Decentralized Multi-Agent Reinforcement Learning Methods Inspired by Stigmergy and Ant Colonies
- Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection