question stringclasses 1
value | subject stringclasses 1
value | choices listlengths 4 4 | answer class label 4
classes |
|---|---|---|---|
Predict which model least fits with the others | model_modality | [
"CLIPort",
"Bayesian Reward Extrapolation",
"Double Q-learning",
"Macaw"
] | 3D |
Predict which model least fits with the others | model_modality | [
"MagFace",
"Dilated Sliding Window Attention",
"Fragmentation",
"Visual-Spatial-Graph Network"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Simple Visual Language Model",
"PAFPN",
"Co-Correcting",
"Glow-TTS"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Sarsa Lambda",
"ConvMLP",
"Stacked Denoising Autoencoder",
"Mobile DenseNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Sarsa Lambda",
"Animatable Reconstruction of Clothed Humans",
"O-Net",
"Random Mix-up"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Selective Search",
"CodeSLAM",
"FiLM Module",
"Local Importance-based Pooling"
] | 2C |
Predict which model least fits with the others | model_modality | [
"RepVGG",
"Watch Your Step",
"Recurrent Event Network",
"ComplEx with N3 Regularizer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Chinchilla",
"PanGu-$α$",
"Active Convolution",
"Bort"
] | 2C |
Predict which model least fits with the others | model_modality | [
"FreeAnchor",
"Point Gathering Network",
"VisualBERT",
"UL2"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Graph Neural Network",
"Capsule Network",
"Contour Proposal Network",
"RIFE"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Colorization Transformer",
"Transformer-XL",
"gMLP",
"Patch Merger Module"
] | 1B |
Predict which model least fits with the others | model_modality | [
"ELECTRA",
"BigGAN-deep",
"Spatial Pyramid Pooling",
"YOLOP"
] | 0A |
Predict which model least fits with the others | model_modality | [
"RESCAL with Relation Prediction",
"Res2Net",
"Multi-scale Progressive Fusion Network",
"bilayer convolutional neural network"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Switch Transformer",
"PrivacyNet",
"Inception-v3 Module",
"Random Grayscale"
] | 0A |
Predict which model least fits with the others | model_modality | [
"GreedyNAS-C",
"Effective Squeeze-and-Excitation Block",
"Bilateral Guided Aggregation Layer",
"Soft Actor Critic"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Graph Convolutional Networks for Fake News Detection",
"Graph Representation with Global structure",
"Adaptive Graph Convolutional Neural Networks",
"Pathways Language Model"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Deep Graph Infomax",
"RegionViT",
"Multiscale Attention ViT with Late fusion",
"VQ-VAE-2"
] | 0A |
Predict which model least fits with the others | model_modality | [
"TopK Copy",
"EfficientNetV2",
"Deformable RoI Pooling",
"Deep Boltzmann Machine"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Grouped Convolution",
"Prioritized Sweeping",
"Residual Multi-Layer Perceptrons",
"PANet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"FastSpeech 2",
"WaveGrad",
"Laplacian Pyramid",
"WaveGlow"
] | 2C |
Predict which model least fits with the others | model_modality | [
"bilayer convolutional neural network",
"Stochastic Dueling Network",
"Restricted Boltzmann Machine",
"FuseFormer Block"
] | 1B |
Predict which model least fits with the others | model_modality | [
"LipGAN",
"Charformer",
"PointAugment",
"Regularized Autoencoders"
] | 1B |
Predict which model least fits with the others | model_modality | [
"MobileViT",
"ORB-Simultaneous localization and mapping",
"RotatE",
"PointQuad-Transformer"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Corner Pooling",
"WaveVAE",
"RandAugment",
"Inception-v4"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Random Scaling",
"Bi-Directional Graph Convolutional Network",
"GhostNet",
"MoGA-C"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Skip-gram Word2Vec",
"SC-GPT",
"XLM",
"PointASNL"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Contextual Word Vectors",
"FiLM Module",
"GBST",
"SimCSE"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Monte-Carlo Tree Search",
"Replacing Eligibility Trace",
"Cluster-GCN",
"Sym-NCO"
] | 2C |
Predict which model least fits with the others | model_modality | [
"FLAVA",
"Hierarchical Transferability Calibration Network",
"Inception-ResNet-v2",
"MelGAN"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Visual-Spatial-Graph Network",
"Augmented SBERT",
"CondConv",
"Non-linear Independent Component Estimation"
] | 1B |
Predict which model least fits with the others | model_modality | [
"PEGASUS",
"ERNIE",
"RAG",
"Animatable Reconstruction of Clothed Humans"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Fourier Contour Embedding",
"GPT",
"GPT-2",
"DeLighT"
] | 0A |
Predict which model least fits with the others | model_modality | [
"CornerNet-Saccade",
"Nyströmformer",
"Average Pooling",
"Mixed Depthwise Convolution"
] | 1B |
Predict which model least fits with the others | model_modality | [
"YOLOv1",
"imGHUM",
"TSDAE",
"DeepViT"
] | 2C |
Predict which model least fits with the others | model_modality | [
"CutBlur",
"Byte Pair Encoding",
"TGAN",
"Laplacian Pyramid"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Knowledge Graph Refiner",
"Invertible NxN Convolution",
"Spatial Attention Module (ThunderNet)",
"LeNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Context-aware Visual Attention-based (CoVA) webpage object detection pipeline",
"CutMix",
"DALL·E 2",
"Jukebox"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Adaptively Sparse Transformer",
"DFDNet",
"FBNet",
"ShuffleNet v2"
] | 0A |
Predict which model least fits with the others | model_modality | [
"GPT",
"Modular Interactive VOS",
"Encoder-Decoder model with local and pairwise loss along with shared encoder and discriminator network (EDLPS)",
"Nyströmformer"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Instruction Pointer Attention Graph Neural Network",
"Graph sampling based inductive learning method",
"Mixture model network",
"Bilateral Guided Aggregation Layer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"DenseNAS-B",
"MoGA-A",
"SqueezeNeXt",
"Vulnerability-constrained Decoding"
] | 3D |
Predict which model least fits with the others | model_modality | [
"PermuteFormer",
"RealNVP",
"ENet Dilated Bottleneck",
"SegNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"TridentNet",
"AlterNet",
"Assemble-ResNet",
"FastSpeech 2s"
] | 3D |
Predict which model least fits with the others | model_modality | [
"mT5",
"MobileBERT",
"Continuous Bag-of-Words Word2Vec",
"TResNet"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Jukebox",
"Darknet-53",
"Mask R-CNN",
"RealNVP"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Sparse Transformer",
"Blended Diffusion",
"Discriminative Adversarial Search",
"GPT-3"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Dialogue-Adaptive Pre-training Objective",
"Flan-T5",
"Packed Levitated Markers",
"simple Copy-Paste"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Relativistic GAN",
"Deep Belief Network",
"Knowledge Enhanced Masked Language Model",
"BigGAN-deep"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Laplacian EigenMap",
"PolarNet",
"Conditional Convolutions for Instance Segmentation",
"Affordance Correspondence"
] | 0A |
Predict which model least fits with the others | model_modality | [
"TGAN",
"Temporaral Difference Network",
"Gated Graph Sequence Neural Networks",
"SENet"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Spatial CNN with UNet based Encoder-decoder and ConvLSTM",
"WordPiece",
"ooJpiued",
"PAR Transformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"SegNet",
"Prescribed Generative Adversarial Network",
"ALBERT",
"Support-set Based Cross-Supervision"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Hierarchical Feature Fusion",
"Augmented SBERT",
"RetinaNet",
"VGG-16"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Guided Anchoring",
"GridMask",
"Global Average Pooling",
"Blue River Controls"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Dual Path Network",
"Table Pre-training via Execution",
"Pixel Recurrent Neural Network",
"M2Det"
] | 1B |
Predict which model least fits with the others | model_modality | [
"PolarMask",
"ProxylessNet-Mobile",
"Learnable graph convolutional layer",
"VATT"
] | 2C |
Predict which model least fits with the others | model_modality | [
"A2C",
"ResNet-RS",
"Firefly algorithm",
"Twin Delayed Deep Deterministic"
] | 1B |
Predict which model least fits with the others | model_modality | [
"SPP-Net",
"Self-Attention Network",
"CR-NET",
"SepFormer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Large-scale Information Network Embedding",
"Attentive Walk-Aggregating Graph Neural Network",
"Audiovisual SlowFast Network",
"VERtex Similarity Embeddings"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Generative Adversarial Network",
"Dialogue-Adaptive Pre-training Objective",
"Audiovisual SlowFast Network",
"Center Pooling"
] | 1B |
Predict which model least fits with the others | model_modality | [
"UL2",
"CodeT5",
"Convolution",
"Neural Probabilistic Language Model"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Adaptive Input Representations",
"SSD",
"Neural Cache",
"Lbl2TransformerVec"
] | 1B |
Predict which model least fits with the others | model_modality | [
"GCNII",
"Graph sampling based inductive learning method",
"MinCut Pooling",
"Flan-T5"
] | 3D |
Predict which model least fits with the others | model_modality | [
"DetNASNet",
"Libra R-CNN",
"ERNIE",
"Dimension-wise Fusion"
] | 2C |
Predict which model least fits with the others | model_modality | [
"DouZero",
"Twin Delayed Deep Deterministic",
"Detailed Expression Capture and Animation",
"A3C"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Double Q-learning",
"Diffusion",
"Partition Filter Network",
"PermuteFormer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"TrIVD-GAN",
"Sample Redistribution",
"Mirror Descent Policy Optimization",
"Voxel RoI Pooling"
] | 2C |
Predict which model least fits with the others | model_modality | [
"YOLOX",
"Region Proposal Network",
"BigGAN-deep",
"BLANC"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Bottleneck Transformer",
"Adversarially Learned Inference",
"RoIWarp",
"DouZero"
] | 3D |
Predict which model least fits with the others | model_modality | [
"DeepMask",
"PointNet",
"Recursive Feature Pyramid",
"CANINE"
] | 3D |
Predict which model least fits with the others | model_modality | [
"PoolFormer",
"Monocular Real-Time Volumetric Performance Capture",
"Random Ensemble Mixture",
"PULSE"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Prioritized Experience Replay",
"ZFNet",
"Taylor Expansion Policy Optimization",
"DouZero"
] | 1B |
Predict which model least fits with the others | model_modality | [
"FastPitch",
"VoiceFilter-Lite",
"Directional Sparse FIltering",
"Composite Backbone Network"
] | 3D |
Predict which model least fits with the others | model_modality | [
"FRILL",
"XLSR",
"WaveVAE",
"Global Average Pooling"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Receptive Field Block",
"Neural Probabilistic Language Model",
"Probabilistically Masked Language Model",
"mT5"
] | 0A |
Predict which model least fits with the others | model_modality | [
"RetinaNet",
"BLIP: Bootstrapping Language-Image Pre-training",
"Packed Levitated Markers",
"RandomRotate"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Jukebox",
"Tacotron2",
"Principal Neighbourhood Aggregation",
"HiFi-GAN"
] | 2C |
Predict which model least fits with the others | model_modality | [
"ManifoldPlus",
"PGC-DGCNN",
"RotatE",
"GeniePath"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Experience Replay",
"ThunderNet",
"Guided Anchoring",
"FractalNet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Seq2Edits",
"Spatial CNN with UNet based Encoder-decoder and ConvLSTM",
"PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification",
"Chained-Tracker"
] | 0A |
Predict which model least fits with the others | model_modality | [
"SpecGAN",
"Blended Diffusion",
"Batch Transformer",
"Multiscale Vision Transformer"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Sliced Iterative Generator",
"Dual Path Network",
"PixLoc",
"Sinkhorn Transformer"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Global and Sliding Window Attention",
"DeepMask",
"IICNet",
"NAS-FCOS"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Forward-Looking Actor",
"Average Pooling",
"MuZero",
"TD Lambda"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Region-based Fully Convolutional Network",
"RESCAL with Relation Prediction",
"Learnable graph convolutional layer",
"Learnable adjacency matrix GCN"
] | 0A |
Predict which model least fits with the others | model_modality | [
"FuseFormer Block",
"Res2Net",
"DenseNet-Elastic",
"XLM-R"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Soft Split and Soft Composition",
"Stein Variational Policy Gradient",
"MaxUp",
"Soft Pooling"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Class-Attention in Image Transformers",
"GBST",
"XLNet",
"Meena"
] | 0A |
Predict which model least fits with the others | model_modality | [
"FractalNet",
"PP-YOLO",
"Composite Fields",
"Jukebox"
] | 3D |
Predict which model least fits with the others | model_modality | [
"Transformer Decoder",
"Quantum Process Tomography",
"BLANC",
"ProphetNet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"BigGAN-deep",
"PREDATOR",
"Directional Sparse FIltering",
"VQ-VAE"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Cascade R-CNN",
"ShuffleNet V2 Downsampling Block",
"Chinchilla",
"EfficientNet"
] | 2C |
Predict which model least fits with the others | model_modality | [
"PointAugment",
"SuperpixelGridCut, SuperpixelGridMean, SuperpixelGridMix",
"Pythia",
"3-dimensional interaction space"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Lower Bound on Transmission using Non-Linear Bounding Function in Single Image Dehazing",
"Grid R-CNN",
"EdgeFlow",
"MPNet"
] | 3D |
Predict which model least fits with the others | model_modality | [
"CycleGAN",
"ELECTRA",
"Affordance Correspondence",
"EfficientDet"
] | 1B |
Predict which model least fits with the others | model_modality | [
"Fisher-BRC",
"Replacing Eligibility Trace",
"Deep Deterministic Policy Gradient",
"CubeRE"
] | 3D |
Predict which model least fits with the others | model_modality | [
"RepPoints",
"WaveGAN",
"WaveGrad",
"CTAL"
] | 0A |
Predict which model least fits with the others | model_modality | [
"Local Relation Layer",
"Graphic Mutual Information",
"Performer",
"Region-based Fully Convolutional Network"
] | 2C |
Predict which model least fits with the others | model_modality | [
"Attentive Walk-Aggregating Graph Neural Network",
"LFPNet with test time augmentation",
"AltCLIP",
"DiCENet"
] | 0A |
Predict which model least fits with the others | model_modality | [
"ooJpiued",
"Random Gaussian Blur",
"OODformer",
"Pansharpening Network"
] | 0A |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.