Papers
Sat 9 Sep 2023
97 papers
- Towards Robust Model Watermark via Reducing Parametric VulnerabilityLLM safety and security → Watermarking generated content and models
- A Review on Robot Manipulation Methods in Human-Robot InteractionsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual TokenizationLLM reasoning → Multimodal reasoning
- Exploring Large Language Models for Communication Games: An Empirical Study on WerewolfWorld models → World models for language agents
- Reducing the False Positive Rate Using Bayesian Inference in Autonomous Driving Perception
- Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education
- Towards LLM-based Autograding for Short Textual Answers
- Recall-driven Precision Refinement: Unveiling Accurate Fall Detection using LSTM
- Finding Influencers in Complex Networks: An Effective Deep Reinforcement Learning Approach
- Verifiable Reinforcement Learning Systems via Compositionality
- A Fast Algorithm for Moderating Critical Nodes via Edge Removal
- Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems
- Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing
- Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces
- MultiCaM-Vis: Visual Exploration of Multi-Classification Model with High Number of Classes
- SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation
- ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation
- How to Evaluate Semantic Communications for Images with ViTScore Metric?
- Semi-supervised Instance Segmentation with a Learned Shape Prior
- SortedAP: Rethinking evaluation metrics for instance segmentation
- Symplectic Structure-Aware Hamiltonian (Graph) Embeddings
- A Gentle Introduction to Gradient-Based Optimization and Variational Inequalities for Machine Learning
- Approximating ReLU on a Reduced Ring for Efficient MPC-based Private Inference
- Distributional Data Augmentation Methods for Low Resource Language
- Approximation Results for Gradient Descent trained Neural Networks
- Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System
- AmbientFlow: Invertible generative models from incomplete, noisy measurements
- Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations
- Leveraging Large Language Models for Exploiting ASR Uncertainty
- AnyPose: Anytime 3D Human Pose Forecasting via Neural Ordinary Differential Equations
- HAct: Out-of-Distribution Detection with Neural Net Activation Histograms
- Neural Semantic Surface Maps
- Global Convergence of Receding-Horizon Policy Search in Learning Estimator Designs
- Neurons in Large Language Models: Dead, N-gram, Positional
- Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer
- Correcting sampling biases via importance reweighting for spatial modeling
- FaNS: a Facet-based Narrative Similarity Metric
- Non-linear dimension reduction in factor-augmented vector autoregressions
- ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting
- Detecting Violations of Differential Privacy for Quantum Algorithms
- Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video
- Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization
- Timely Fusion of Surround Radar/Lidar for Object Detection in Autonomous Driving Systems
- Towards Real-World Burst Image Super-Resolution: Benchmark and Method
- CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning
- TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines
- VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
- A Full-fledged Commit Message Quality Checker Based on Machine Learning
- Latent Spatiotemporal Adaptation for Generalized Face Forgery Video Detection
- MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images
- Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape
- IRCNN+: An Enhanced Iterative Residual Convolutional Neural Network for Non-stationary Signal Decomposition
- Latent Degradation Representation Constraint for Single Image Deraining
- SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning
- Visual Material Characteristics Learning for Circular Healthcare
- AudRandAug: Random Image Augmentations for Audio Classification
- A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
- RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification
- Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation
- A Novel Training Framework for Physics-informed Neural Networks: Towards Real-time Applications in Ultrafast Ultrasound Blood Flow Imaging
- Deep Video Restoration for Under-Display Camera
- Mirror-Aware Neural Humans
- When to Learn What: Model-Adaptive Data Augmentation Curriculum
- Affine Invariant Ensemble Transform Methods to Improve Predictive Uncertainty in Neural Networks
- Data Augmentation for Conversational AI
- Learning Spiking Neural Network from Easy to Hard task
- Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering
- A Spatiotemporal Deep Neural Network for Fine-Grained Multi-Horizon Wind Prediction
- TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
- Transitions in echo index and dependence on input repetitions
- EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets
- Frequency-Aware Self-Supervised Long-Tailed Learning
- Toward Reproducing Network Research Results Using Large Language Models
- Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact
- UnitModule: A Lightweight Joint Image Enhancement Module for Underwater Object Detection
- Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective
- Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model
- A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos
- Weak-PDE-LEARN: A Weak Form Based Approach to Discovering PDEs From Noisy, Limited Data
- Advancements in Upper Body Exoskeleton: Implementing Active Gravity Compensation with a Feedforward Controller
- Code-Style In-Context Learning for Knowledge-Based Question Answering
- Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
- DeNoising-MOT: Towards Multiple Object Tracking with Severe Occlusions
- Embedding structure matters: Comparing methods to adapt multilingual vocabularies to new languages
- Flexible and Robust Counterfactual Explanations with Minimal Satisfiable Perturbations
- BiLMa: Bidirectional Local-Matching for Text-based Person Re-identification
- SSHNN: Semi-Supervised Hybrid NAS Network for Echocardiographic Image Segmentation
- Compact: Approximating Complex Activation Functions for Secure Computation
- FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning
- MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
- Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models
- Generation and Recombination for Multifocus Image Fusion with Free Number of Inputs
- Intelligent upper-limb exoskeleton integrated with soft wearable bioelectronics and deep-learning for human intention-driven strength augmentation based on sensory feedback
- Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis
- Exploring Robust Features for Improving Adversarial Robustness
- Efficient Finetuning Large Language Models For Vietnamese Chatbot
- Towards Understanding Neural Collapse: The Effects of Batch Normalization and Weight Decay