All Papers

Self-Composing Policies for Scalable Continual Reinforcement Learning

Mikel Malagón, Josu Ceberio, Jose A Lozano

Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction

He Zhang, Chang Liu, wang et al.

Self-Consuming Generative Models Go MAD

Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi et al.

Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Niels Mündler, Jingxuan He, Slobodan Jenko et al.

Self-Cooperation Knowledge Distillation for Novel Class Discovery

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

Self-correcting LLM-controlled Diffusion Models

Tsung-Han Wu, Long Lian, Joseph Gonzalez et al.

Self-Correcting Self-Consuming Loops for Generative Model Training

Nate Gillman, Michael Freeman, Daksh Aggarwal et al.

Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation

Hang Li, Chengzhi Shen, Philip H.S. Torr et al.

Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach

Ziyin Zhang, Ning Lu, Minghui Liao et al.

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors

Nicolae Ristea, Florinel Croitoru, Radu Tudor Ionescu et al.

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning

Wenke Huang, Zekun Shi, Mang Ye et al.

SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes

Mohammad Zohaib, Luca Cosmo, Alessio Del Bue

Self-Guided Generation of Minority Samples Using Diffusion Models

Soobin Um, Jong Chul Ye

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning

Johnathan Xie, Yoonho Lee, Annie Chen et al.

SelfIE: Self-Interpretation of Large Language Model Embeddings

Haozhe Chen, Carl Vondrick, Chengzhi Mao

Self-Infilling Code Generation

Lin Zheng, Jianbo Yuan, Zhi Zhang et al.

Self-Interpretable Graph Learning with Sufficient and Necessary Explanations

Jiale Deng, Yanyan Shen

SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction

Yuanhui Huang, Wenzhao Zheng, Borui Zhang et al.

Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Zixiang Chen, Yihe Deng, Huizhuo Yuan et al.

SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation

Keqi Chen, vinkle srivastav, Nicolas Padoy

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency

8137 Feiyu Zhu, Reid Simmons

Self-Prompt Mechanism for Few-Shot Image Recognition

Mingchen Song, Huiqiang Wang, Guoqiang Zhong

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Akari Asai, Zeqiu Wu, Yizhong Wang et al.

Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance

Donghoon Ahn, Hyoungwon Cho, Jaewon Min et al.

Self-Rewarding Language Models

Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho et al.

Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning

Guoli Yan, Zichun Zhong, Jing Hua

Self-Supervised Any-Point Tracking by Contrastive Random Walks

Ayush Shrivastava, Andrew Owens

Self-Supervised Audio-Visual Soundscape Stylization

Tingle Li, Renhao Wang, Po-Yao Huang et al.

Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals

Shaoheng Fang, Zuhong Liu, Mingyu Wang et al.

Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations

Kewei Wang, Yizheng Wu, Jun Cen et al.

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation

Sergei Shumilin, Alexander Ryabov, Nikolay Yavich et al.

Self-Supervised Contrastive Learning for Long-term Forecasting

Junwoo Park, Daehoon Gwak, Jaegul Choo et al.

Self-supervised co-salient object detection via feature correspondences at multiple scales

Souradeep Chakraborty, Dimitris Samaras

Self-Supervised Dataset Distillation for Transfer Learning

Dong Bok Lee, Seanie Lee, Joonho Ko et al.

Self-supervised Debiasing Using Low Rank Regularization

Geon Yeong Park, Chanyong Jung, Sangmin Lee et al.

Self-Supervised Disentangled Representation Learning for Robust Target Speech Extraction

Zhaoxi Mu, Xinyu Yang, Sining Sun et al.

Self-Supervised Dual Contouring

Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov

Self-Supervised Facial Representation Learning with Facial Region Awareness

Zheng Gao, Ioannis Patras

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection

Yuanpeng Tu, Boshen Zhang, Liang Liu et al.

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View

YUJIE MO, Feiping Nie, Ping Hu et al.

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes

Zhilu Zhang, Haoyu Wang, Shuai Liu et al.

Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity

Hyunki Seong, Hyunchul Shim

Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search

Meiyu Liang, Junping Du, Zhengyang Liang et al.

Self-Supervised Multi-Object Tracking with Path Consistency

Zijia Lu, Bing Shuai, Yanbei Chen et al.

Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment

Bowen Gao, Yinjun JIA, Yuanle Mo et al.

Self-Supervised Representation Learning for Adversarial Attack Detection

Yi Li, Plamen Angelov, Neeraj Suri

Self-Supervised Representation Learning from Arbitrary Scenarios

Zhaowen Li, Yousong Zhu, Zhiyang Chen et al.

Self-supervised Representation Learning from Random Data Projectors

Yi Sui, Tongzi Wu, Jesse Cresswell et al.

Self-supervised Shape Completion via Involution and Implicit Correspondences

Mengya Liu, Ajad Chhatkuli, Janis Postels et al.