Papers
Sat 16 Sep 2023
104 papers
- Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Rethinking STS and NLI in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- UNIDEAL: Curriculum Knowledge Distillation Federated LearningKnowledge distillation → Federated, robust and private distillation
- A Novel Neural-symbolic System under Statistical Relational LearningLLM reasoning → Reasoning benchmarks and evaluation
- In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video RetrievalMultimodal LLMs / vision-language models → Video understanding with MLLMs
- DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- CDDM: Channel Denoising Diffusion Models for Wireless Semantic CommunicationsDiffusion models → Diffusion for compression and wireless
- Rethinking Learning Rate Tuning in the Era of Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- Learning a Stable Dynamic System with a Lyapunov Energy Function for Demonstratives Using Neural NetworksOffline RL and imitation learning from data → Robot learning from demonstration
- Extracting Interpretable Local and Global Representations from Attention on Time Series
- Cognitive modeling and learning with sparse binary hypervectors
- DEUX: Active Exploration for Learning Unsupervised Depth Perception
- Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors
- PrNet: A Neural Network for Correcting Pseudoranges to Improve Positioning with Android Raw GNSS Measurements
- Comparative study of Deep Learning Models for Binary Classification on Combined Pulmonary Chest X-ray Dataset
- EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning
- Improving Speech Recognition for African American English With Audio Classification
- Reducing sequential change detection to sequential estimation
- Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback
- The Impact of Debiasing on the Performance of Language Models in Downstream Tasks is Underestimated
- FrameRS: A Video Frame Compression Model Composed by Self supervised Video Frame Reconstructor and Key Frame Selector
- Multi-camera Bird's Eye View Perception for Autonomous Driving
- Unsupervised Green Object Tracker (GOT) without Offline Pre-training
- Test-Time Compensated Representation Learning for Extreme Traffic Forecasting
- Enhancing personalised thermal comfort models with Active Learning for improved HVAC controls
- RMDM: A Multilabel Fakenews Dataset for Vietnamese Evidence Verification
- NOWJ1@ALQAC 2023: Enhancing Legal Task Performance with Classic Statistical Models and Pre-trained Language Models
- Constructing a Knowledge Graph for Vietnamese Legal Cases with Heterogeneous Graphs
- Recovering Missing Node Features with Local Structure-based Embeddings
- MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
- Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization
- GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
- Generative AI-Driven Storytelling: A New Era for Marketing
- Temporal Smoothness Regularisers for Neural Link Predictors
- Study of Enhanced MISC-Based Sparse Arrays with High uDOFs and Low Mutual Coupling
- Forward Invariance in Neural Network Controlled Systems
- Microscale 3-D Capacitance Tomography with a CMOS Sensor Array
- A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis
- Solving Quadratic Systems with Full-Rank Matrices Using Sparse or Generative Priors
- Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule
- gym-saturation: Gymnasium environments for saturation provers (System description)
- RingMo-lite: A Remote Sensing Multi-task Lightweight Network with CNN-Transformer Hybrid Framework
- Earth Virtualization Engines -- A Technical Perspective
- Context-aware Adversarial Attack on Named Entity Recognition
- OmniLRS: A Photorealistic Simulator for Lunar Robotics
- RMP: A Random Mask Pretrain Framework for Motion Prediction
- Deliberative Context-Aware Ambient Intelligence System for Assisted Living Homes
- Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations
- Data-driven Reachability using Christoffel Functions and Conformal Prediction
- Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection
- Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference
- FF-LOGO: Cross-Modality Point Cloud Registration with Feature Filtering and Local to Global Optimization
- Multiagent Reinforcement Learning with an Attention Mechanism for Improving Energy Efficiency in LoRa Networks
- Tightening Classification Boundaries in Open Set Domain Adaptation through Unknown Exploitation
- Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
- ODSum: New Benchmarks for Open Domain Multi-Document Summarization
- Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
- ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images
- IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System
- Robust Backdoor Attacks on Object Detection in Real World
- Cross-Lingual Knowledge Editing in Large Language Models
- Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals
- Staged Contact-Aware Global Human Motion Forecasting
- Reducing Memory Requirements for the IPU using Butterfly Factorizations
- Inverse classification with logistic and softmax classifiers: efficient optimization
- Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning
- Contextual Label Projection for Cross-Lingual Structured Prediction
- AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose
- An Unified Search and Recommendation Foundation Model for Cold-Start Scenario
- Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection
- Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding
- DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields
- Fast Approximation of the Shapley Values Based on Order-of-Addition Experimental Designs
- Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models
- Pixel Adapter: A Graph-Based Post-Processing Approach for Scene Text Image Super-Resolution
- Exploration of TPUs for AI Applications
- BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer's Disease
- A Statistical Turing Test for Generative Models
- Delving into Multimodal Prompting for Fine-grained Visual Classification
- Efficient Methods for Non-stationary Online Learning
- Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models
- V2CE: Video to Continuous Events Simulator
- GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels
- Robust Online Covariance and Sparse Precision Estimation Under Arbitrary Data Corruption
- Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees
- ChatGPT-4 with Code Interpreter can be used to solve introductory college-level vector calculus and electromagnetism problems
- Data-Driven H-infinity Control with a Real-Time and Efficient Reinforcement Learning Algorithm: An Application to Autonomous Mobility-on-Demand Systems
- Semantic Information Extraction for Text Data with Probability Graph
- X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
- PDFTriage: Question Answering over Long, Structured Documents
- MHLAT: Multi-hop Label-wise Attention Model for Automatic ICD Coding
- Trajectory Tracking Control of Skid-Steering Mobile Robots with Slip and Skid Compensation using Sliding-Mode Control and Deep Learning
- Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer
- Has Sentiment Returned to the Pre-pandemic Level? A Sentiment Analysis Using U.S. College Subreddit Data from 2019 to 2022
- Emerging Approaches for THz Array Imaging: A Tutorial Review and Software Tool
- MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
- AOSR-Net: All-in-One Sandstorm Removal Network
- Bias and Fairness in Chatbots: An Overview
- Intelligent machines work in unstructured environments by differential neuromorphic computing
- SLIDE: Reference-free Evaluation for Machine Translation using a Sliding Document Window