Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness (Hyunwoo Kim, Byeongchang Kim and Gunhee Kim) #김건희 교수팀

Point to the Expression: Solving Algebraic Word Problems using the Expression-Pointer Transformer Model (Bugeun Kim, Kyung Seo Ki, Donggeon Lee and Gahgene Gweon) #권가진 교수팀

Interpretation of NLP models through input marginalization (Siwon Kim, Jihun Yi, Eunji Kim and Sungroh Yoon) #윤성로 교수팀

Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation (Kang Min Yoo, Hanbit Lee, Franck Dernoncourt, Trung Bui, Walter Chang, Sang-goo Lee) #이상구 교수팀

(Oral) Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning (Jaekyeom Kim, Hyoungseok Harry Kim and Gunhee Kim) #김건희 교수팀

(Spotlight) Character Grounding and Re-Identification in Story of Videos and Text Descriptions (Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung and Gunhee Kim) #김건희 교수팀

(Spotlight) PROFIT: A Novel Training Method for sub-4-bit MobileNet Models (Eunhyeok Park, Sungjoo Yoo) #유승주 교수팀

SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation (John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak) #곽노준 교수팀

Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations (Sungheon Park, Minsik Lee, Nojun Kwak) #곽노준 교수팀

Imbalanced Continual Learning with Partitioning Reservoir Sampling (Chris Dongjoo Kim, Jinseo Jeong and Gunhee Kim) #김건희 교수팀

Rethinking Class Activation Mapping for Weakly Supervised Object Localization (Junhyug Noh, Wonho Bae and Gunhee Kim) #김건희 교수팀

iCaps: An Interpretable Classifier via Disentangled Capsule Networks (Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon) #윤성로 교수팀

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image (Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee) #이경무 교수팀

DeepHandMesh: Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling from a Single RGB Image (Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee) #이경무 교수팀

I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image (Gyeongsik Moon, Kyoung Mu Lee) #이경무 교수팀

Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from 2D Human Pose (Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee) #이경무 교수팀

Learning to Optimize Domain Specific Normalization for Domain Generalization (Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jong-Woo Han, Bohyung Han) #한보형 교수팀

Task-Aware Quantization Network for JPEG Image Compression (Jinyoung Choi, Bohyung Han) #한보형 교수팀

Traffic Accident Analysis by Cause and Effect Events Localization (Tackgeun You, Bohyung Han) #한보형 교수팀

URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark (Seonguk Seo, Joon-Young Lee, and Bohyung Han) #한보형 교수팀

Learning Visual Context by Comparison (Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo)

Feature-map-level Online Adversarial Knowledge Distillation (Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak) #곽노준 교수팀

Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup (Jang-Hyun Kim, Wonho Choo, Hyun Oh Song) #송현오 교수팀

Principled learning method for Wasserstein distributionally robust optimization with local perturbations (Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik) #조명희 교수팀

[이 게시물은 최고관리자님에 의해 2021-04-02 20:45:06 논문에서 이동 됨]

MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation (S. Cho, E. Park, S. Yoo) #유승주 교수팀

(Oral) Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization (Saehyung Lee, Hyungyu Lee, Sungroh Yoon) #윤성로 교수팀

Learning to Forget for Meta-Learning (Sungyong Baik, Seokil Hong, Kyoung Mu Lee) #이경무 교수팀

Hypergraph Attention Networks for Multimodal Learning (Eun-Sol Kim, Woo Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수팀

Generalized Product Quantization Network for Semi-Supervised Image Retrieval (Young Kyun Jang, Nam Ik Cho) #조남익 교수팀

Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho) #조남익 교수팀

Meta-Transfer Learning for Zero-Shot Super-Resolution (Jae Woong Soh, Sunwoo Cho, Nam Ik Cho) #조남익 교수팀

Separating Particulate Matter From a Single Microscopic Image (Tushar Sandhan, Jin Young Choi) #최진영 교수팀

StackNet: Stacking Parameters for Continual learning (Jangho Kim, Jeesoo Kim, Nojun Kwak) #곽노준 교수팀

LSQ+: Improving low-bit quantization through learnable offsets and better initialization (Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak) #곽노준 교수팀

iCaps: An Interpretable Classifier via Disentangled Capsule Networks (Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon) #윤성로 교수팀

Dual Path Denoising Network for Real Photographic Noise (Yeong Il Jang, Yoonsik Kim, Nam Ik Cho) #조남익 교수팀

Deep Neural Network Based Active User Detection for Grant-Free NOMA Systems (Wonjun Kim, Yongjun Ahn, and Byonghyo Shim) #심병효 교수팀

Learning-Based Fingertip Force Estimation for Soft Wearable Hand Robot With Tendon-Sheath Mechanism (Brian Byunghyun Kang, Daekyum Kim, Hyungmin Choi, Useok Jeong, Kyu Bum Kim, Sungho Jo, and Kyu-Jin Cho) #조규진 교수팀

(Spotlight) Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue (Byeongchang Kim, Jaewoo Ahn and Gunhee Kim) #김건희 교수팀

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning (Soochan Lee, Junsoo Ha, Dongsu Zhang and Gunhee Kim) #김건희 교수팀

From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech (Hyeong-Seok Choi, Changdae Park, and Kyogu Lee) #이교구 교수팀

Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction (Taeuk Kim, Jihun Choi, Daniel Edmiston, Sang-goo Lee) #이상구 교수팀

(Oral) Cut-Based Graph Learning Networks to Discover Compositional Structure of Sequential Video Data : Thirty-Fourth AAAI Conf. on Artificial Intelligence (Kyoung-Woon On, Eun-Sol Kim, Yu-Jung Heo, Byoung-Tak Zhang) #장병탁 교수팀

Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction (Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak) #곽노준 교수팀

URNet : User-Resizable Residual Networks with Conditional Gating Module (Sang-ho Lee, Simyung Chang, Nojun Kwak) #곽노준 교수팀

Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface (Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung) #성원용 교수팀

Spiking‐YOLO: Spiking Neural Network for Energy-­‐Efficient Object Detection (Seijoon Kim, Seongsik Park , Byunggook Na, Sungroh Yoon) #윤성로 교수팀

Channel Attention Is All You Need for Video Frame Interpolation (Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee) #이경무 교수팀

REST: performance improvement of a black box model via RL based spatial transformation (Jaemyung Kim, Chanwoo Park, Hyungjin Kim, and Jungwoo Lee) #이정우 교수팀

Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding (Hyeongu Yun, Yongkeun Hwang and Kyomin jung) #정교민 교수팀

Associative Variational Auto-encoder with Distributed Latent Spaces and Associators (Dae Ung Jo, ByeongJu Lee, Jongwon Choi, Haanju Yoo , Jin Young Choi) #최진영 교수팀

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One‐Shot Channel Pruning (Ilchae Jung, Kihyun You, Hyeonwoo Noh , Minsu Cho, Bohyung Han) #한보형 교수팀

Towards Oracle Knowledge Distillation with Neural Architecture Search (Minsoo Kang, Jonghwan Mun, Bohyung Han) #한보형 교수팀

Reinforcing an Image Caption Generator using Off-­line Human Feedback (Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut) #한보형 교수팀

Context-Aware Zero-Shot Recognition (Ruotian Luo, Ning Zhang, Bohyung Han, Linjie Yang) #한보형 교수팀

On casting importance weighted autoencoder to an EM algorithm to learn deep generative models (Dongha Kim, Jaesung Hwang, Yongdai Kim) #김용대 교수팀

Lipschitz Continuous Autoencoders in Application to Anomaly Detection (Young-geun Kim, Yongchan Kwon, Hyunwoong Chang, Myunghee Cho Paik) #조명희 교수팀

Gtensor: Fast and Accurate Tensor Analysis System using GPUs (Dawon Ahn, Sangjun Son, U Kang) #강유 교수팀

Feature-level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks (Seonguk Park and Nojun Kwak) #곽노준 교수팀

BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks (Jinhong Jung, Ha-Myung Park, U Kang) #강유 교수팀