Papers
Wed 21 Dec 2022
181 papers
- Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving ScenariosEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- End-to-End Imitation Learning with Safety Guarantees using Control Barrier FunctionsOffline RL and imitation learning from data → Safe offline RL
- Device-Bind Key-Storageless Hardware AI Model IP Protection: A PUF and Permute-Diffusion Encryption-Enabled ApproachLLM safety and security → Watermarking generated content and models
- Language Models as Inductive ReasonersLLM reasoning → Reasoning benchmarks and evaluation
- Hierarchically branched diffusion models leverage dataset structure for class-conditional generationDiffusion models → Diffusion foundations and sampling
- Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models
- Classifying Mental-Disorders through Clinicians Subjective Approach based on Three-way Decision
- Pattern Recognition Experiments on Mathematical Expressions
- CarFi: Rider Localization Using Wi-Fi CSI
- Multimodal Emotion Recognition among Couples from Lab Settings to Daily Life using Smartwatches
- ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods
- Extrinsic Bayesian Optimizations on Manifolds
- The URW-KG: a Resource for Tackling the Underrepresentation of non-Western Writers
- Text classification in shipping industry using unsupervised models and Transformer based supervised models
- Structure-guided Image Outpainting
- A Mutation-based Text Generation for Adversarial Machine Learning Applications
- DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation
- Cattle Detection Occlusion Problem
- Circumventing interpretability: How to defeat mind-readers
- Improving Automated Program Repair with Domain Adaptation
- DExT: Detector Explanation Toolkit
- Adaptive and Dynamic Multi-Resolution Hashing for Pairwise Summations
- ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data
- Online Statistical Inference in Decision-Making with Matrix Context
- Automatic Emotion Modelling in Written Stories
- The Inverse of Exact Renormalization Group Flows as Statistical Inference
- ReVISE: Self-Supervised Speech Resynthesis with Visual Input for Universal and Generalized Speech Enhancement
- Artistic Arbitrary Style Transfer
- Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images
- GCS-Q: Quantum Graph Coalition Structure Generation
- MM811 Project Report: Cloud Detection and Removal in Satellite Images
- When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
- Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data
- A Projected Upper Bound for Mining High Utility Patterns from Interval-Based Event Sequences
- Lightweight Monocular Depth Estimation
- Feature Acquisition using Monte Carlo Tree Search
- Contrastive Distillation Is a Sample-Efficient Self-Supervised Loss Policy for Transfer Learning
- Sensitivity analysis of biological washout and depth selection for a machine learning based dose verification framework in proton therapy
- Deep Unfolded Tensor Robust PCA with Self-supervised Learning
- Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation
- Advanced Baseline for 3D Human Pose Estimation: A Two-Stage Approach
- Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations
- Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour
- End-to-end AI framework for interpretable prediction of molecular and crystal properties
- Learning-based Optimal Admission Control in a Single Server Queuing System
- What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis
- Towards Neural Variational Monte Carlo That Scales Linearly with System Size
- Language models are better than humans at next-token prediction
- Decision-making and control with diffractive optical networks
- Audio Denoising for Robust Audio Fingerprinting
- KL Regularized Normalization Framework for Low Resource Tasks
- Generalized Decoding for Pixel, Image, and Language
- Personalized Decentralized Multi-Task Learning Over Dynamic Communication Graphs
- 3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
- Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
- Adapting to Latent Subgroup Shifts via Concepts and Proxies
- Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators
- Improving Narrative Relationship Embeddings by Training with Additional Inverse-Relationship Constraints
- A Nearly Tight Bound for Fitting an Ellipsoid to Gaussian Random Points
- Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges
- Land Cover and Land Use Detection using Semi-Supervised Learning
- A Theoretical Study of The Effects of Adversarial Attacks on Sparse Regression
- A Seven-Layer Model for Standardising AI Fairness Assessment
- Vulnerabilities of Deep Learning-Driven Semantic Communications to Backdoor (Trojan) Attacks
- Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms
- Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks
- Continual Learning Approaches for Anomaly Detection
- Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning
- Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal
- Universal versus system-specific features of punctuation usage patterns in~major Western~languages
- A recurrent CNN for online object detection on raw radar frames
- Robust Path Selection in Software-defined WANs using Deep Reinforcement Learning
- Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
- Generating music with sentiment using Transformer-GANs
- Towards dynamic stability analysis of sustainable power grids using graph neural networks
- What Makes for Good Tokenizers in Vision Transformer?
- Lifelong Reinforcement Learning with Modulating Masks
- Exploring Content Relationships for Distilling Efficient GANs
- On Reinforcement Learning for the Game of 2048
- Towards Cooperative Flight Control Using Visual-Attention
- Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
- Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble
- Deep set conditioned latent representations for action recognition
- Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime
- Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles
- Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
- LogAnMeta: Log Anomaly Detection Using Meta Learning
- Attention-Aware Anime Line Drawing Colorization
- SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
- Computer says "No": The Case Against Empathetic Conversational AI
- The Ties that matter: From the perspective of Similarity Measure in Online Social Networks
- TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
- UNIKD: UNcertainty-filtered Incremental Knowledge Distillation for Neural Implicit Representation
- Parallel Context Windows for Large Language Models
- Joint Embedding of 2D and 3D Networks for Medical Image Anomaly Detection
- Critic-Guided Decoding for Controlled Text Generation
- DCC: A Cascade based Approach to Detect Communities in Social Networks
- A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling
- Commentary Generation from Data Records of Multiplayer Strategy Esports Game
All 181
- Resolving Indirect Referring Expressions for Entity Selection
- Minimizing Worst-Case Violations of Neural Networks
- SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning
- Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base
- Ensemble learning techniques for intrusion detection system in the context of cybersecurity
- ALCAP: Alignment-Augmented Music Captioner
- Training language models to summarize narratives improves brain alignment
- A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
- In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision
- Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
- Automatic Network Adaptation for Ultra-Low Uniform-Precision Quantization
- TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation
- Hyperparameters in Contextual RL are Highly Situational
- Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-shot In-Context Learners
- Is it easier to count communities than find them?
- MoQuad: Motion-focused Quadruple Construction for Video Contrastive Learning
- 5G Long-Term and Large-Scale Mobile Traffic Forecasting
- Temporal Disaggregation of the Cumulative Grass Growth
- PABAU: Privacy Analysis of Biometric API Usage
- VCNet: A self-explaining model for realistic counterfactual generation
- From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
- Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning
- Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization
- Predicting the Score of Atomic Candidate OWL Class Axioms
- Consistent Range Approximation for Fair Predictive Modeling
- Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
- End-to-End Automatic Speech Recognition model for the Sudanese Dialect
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
- Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
- Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization
- 4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders
- High-fidelity Direct Contrast Synthesis from Magnetic Resonance Fingerprinting
- ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models
- Secure and Privacy Preserving Proxy Biometrics Identities
- MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth Estimation
- Beyond Information Exchange: An Approach to Deploy Network Properties for Information Diffusion
- BTS: Bifold Teacher-Student in Semi-Supervised Learning for Indoor Two-Room Presence Detection Under Time-Varying CSI
- Direct Comparative Analysis of Nature-inspired Optimization Algorithms on Community Detection Problem in Social Networks
- Reconstruction Probing
- OpineSum: Entailment-based self-training for abstractive opinion summarization
- Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing
- GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network
- Multi-hop Evidence Retrieval for Cross-document Relation Extraction
- SERENGETI: Massively Multilingual Language Models for Africa
- Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
- Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks
- Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks
- MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning
- Low-Light Image and Video Enhancement: A Comprehensive Survey and Beyond
- ImPaKT: A Dataset for Open-Schema Knowledge Base Construction
- Uncontrolled Lexical Exposure Leads to Overestimation of Compositional Generalization in Pretrained Models
- How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
- Class Prototype-based Cleaner for Label Noise Learning
- Reward Bonuses with Gain Scheduling Inspired by Iterative Deepening Search
- Learning List-Level Domain-Invariant Representations for Ranking
- ORCA: A Challenging Benchmark for Arabic Language Understanding
- JASMINE: Arabic GPT Models for Few-Shot Learning
- CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding
- PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition
- The Internet of Senses: Building on Semantic Communications and Edge Intelligence
- SLGTformer: An Attention-Based Approach to Sign Language Recognition
- An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits
- ToL: A Tensor of List-Based Unified Computation Model
- NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters
- Scalable Hybrid Learning Techniques for Scientific Data Compression
- UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering
- Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction
- Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval
- Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation
- Predict+Optimize Problem in Renewable Energy Scheduling
- Contrastive Error Attribution for Finetuned Language Models
- MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions
- Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing
- Integrating Heterogeneous Domain Information into Relation Extraction: A Case Study on Drug-Drug Interaction Extraction
- Neighboring State-based Exploration for Reinforcement Learning
- Zero-shot Triplet Extraction by Template Infilling
- Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection
- Control of Continuous Quantum Systems with Many Degrees of Freedom based on Convergent Reinforcement Learning
- A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
- PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields
- Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering